first I gave the following error in the code
int KK = 10;
int colors[KK];
then I wrote const int instead of kk and fixed the error
I'm using the opencv library but I'm getting an error somewhere. When i and j are 713 48, they do not give an error, but in the next cycle, i and j are 713 and 49, and they give an error code.(OpenCV Error: Assertion failed (dims <= 2 && data && (unsigned)i0 < (unsigned)size.p[0] && (unsigned)(i1*DataType<_Tp>::channels) < (unsigned)(size.p[1]*channels()) && ((((sizeof(size_t)<<28)|0x8442211) >> ((DataType<_Tp>::depth) & ((1 << 3) - 1))*4) & 15) == elemSize1()) in cv::Mat::at, file c:\opencv\build\include\opencv2\core\mat.hpp, line 548)
the error gives in this row.
clustered.at(i,j) = (float)(colors[bestLabels.at(1,z)]);
I share the detailed code below
int KK = 10;
int colors[KK];
Mat p;
Mat bestLabels, centers;
vector<Mat> bgr, bgrBN;
split(frame_color, bgr);
Mat mask, clustered;
Mat clusteredAll = Mat::zeros(frame_color.rows, frame_color.cols, CV_32F);
for (int k = 0; k < contoursN.size(); k++)
{
mask = Mat::zeros(frame_color.rows, frame_color.cols, CV_8U);
drawContours(mask, contoursN, k, CV_RGB(255,255,255), CV_FILLED);
clustered = Mat::zeros(frame_color.rows, frame_color.cols, CV_32F);
int A = 0;
for (int i = 0; i < frame_color.rows; i++)
for (int j = 0; j < frame_color.cols; j++)
if (mask.at<uchar>(i,j) != 0)
A++;
if (A > 20)
{
p = Mat::zeros(A, G, CV_32F);
double moy = 0;
int z = 0;
for (int i = 0; i < frame_color.rows; i++)
{
for (int j = 0; j < frame_color.cols; j++)
{
if (mask.at<uchar>(i,j) != 0)
{
p.at<float>(z,0) = bgr[0].data[i*frame_color.cols+j] / 255.0;
p.at<float>(z,1) = bgr[1].data[i*frame_color.cols+j] / 255.0;
p.at<float>(z,2) = bgr[2].data[i*frame_color.cols+j] / 255.0;
z++;
moy = moy + frame.at<uchar>(i,j);
}
}
}
moy = moy/z;
double var = 0;
for (int i = 0; i < frame_color.rows; i++)
for (int j = 0; j < frame_color.cols; j++)
if (mask.at<uchar>(i,j) != 0)
var = var+(frame.at<uchar>(i,j) - moy)*(frame.at<uchar>(i,j) - moy);
var = var/(z*z);
int K = 1 + log(1+(A/A0)+(var/var0));
kmeans(p, K, bestLabels, TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 10, 1.0), 3, KMEANS_PP_CENTERS, centers);
for(int i=0; i<KK; i++)
colors[i] = 255/(i+1);
z = 0;
for (int i = 0; i < frame_color.rows; i++)
{
for (int j = 0; j < frame_color.cols; j++)
{
if (mask.at<uchar>(i,j) != 0)
{
clustered.at<float>(i,j) = (float)(colors[bestLabels.at<int>(1,z)]);
z++;
}
}
}
clusteredAll = clusteredAll + clustered;
clustered.convertTo(clustered, CV_8U);
}
Related
I am doing Week 4 Filter-less for CS50, I get an error whne I try to compile my code
When I complie it is see this erorr.
/usr/bin/ld: /lib/x86_64-linux-gnu/Scrt1.o: in function _start': (.text+0x1b): undefined reference to main'
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [: helpers] Error 1
This is my code
#include "helpers.h"
#include <math.h>
// Convert image to grayscale
void grayscale(int height, int width, RGBTRIPLE image[height][width])
{
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
float r = image[i][j].rgbtRed;
float g = image[i][j].rgbtGreen;
float b = image[i][j].rgbtBlue;
float grey = round((b + g + r)/3.0);
image[i][j].rgbtRed = image[i][j].rgbtGreen = image[i][j].rgbtBlue = grey;
}
}
return;
}
// Convert image to sepia
void sepia(int height, int width, RGBTRIPLE image[height][width])
{
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width / 2; j++)
{
int w = width - (j + 1);
RGBTRIPLE tmp = image[i][j];
image[i][j] = image[i][w];
image[i][w] = tmp;
}
}
return;
}
// Reflect image horizontally
void reflect(int height, int width, RGBTRIPLE image[height][width])
{
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
int b = image[i][j].rgbtBlue;
int g = image[i][j].rgbtGreen;
int r = image[i][j].rgbtRed;
int sepiaRed = round((0.393 * r) + (0.769 * g) + (0.189 * b));
int sepiaGreen = round((0.349 * r) + (0.686 * g) + (0.168 * b));
int sepiaBlue = round((0.272 * r) + (0.534 * g) + (0.131 * b));
if (sepiaRed > 255)
{
sepiaRed = 255;
}
if (sepiaGreen > 255)
{
sepiaGreen = 255;
}
if (sepiaBlue > 255)
{
sepiaBlue = 255;
}
image[i][j].rgbtBlue = sepiaBlue;
image[i][j].rgbtGreen = sepiaGreen;
image[i][j].rgbtRed = sepiaRed;
}
}
return;
}
// Blur image
void blur(int height, int width, RGBTRIPLE image[height][width])
{
RGBTRIPLE tmp[height][width];
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
tmp[i][j] = image[i][j];
}
}
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
int totalRed = 0;
int totalGreen = 0;
int totalBlue = 0;
float counter = 0.00;
for (int x = -1; x < 2; x++)
{
for (int y = -1; y < 2; y++)
{
int X = i + x;
int Y = j + y;
if (X < 0 || Y < 0 || X > (height - 1) || Y > (width - 1))
{
continue;
}
totalRed += image[X][Y].rgbtRed;
totalGreen += image[X][Y].rgbtGreen;
totalBlue += image[X][Y].rgbtBlue;
counter++;
}
tmp[i][j].rgbtRed = round(totalRed / counter);
tmp[i][j].rgbtGreen = round(totalGreen / counter);
tmp[i][j].rgbtBlue = round(totalBlue / counter);
}
}
}
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
image[i][j].rgbtRed = tmp[i][j].rgbtRed;
image[i][j].rgbtGreen = tmp[i][j].rgbtGreen;
image[i][j].rgbtBlue = tmp[i][j].rgbtBlue;
}
}
return;
}
I am currently implementing a connected components algorithm and the last step of the algorithm requires me to enclose the objects I found in a box. I have attempted to enclose an object in a box and this is the result:
As you can see some of them seem to be enclosed in a box. Some of the lines of the box are not seen unless I stretch the windows of the imshow function's output and also some of them have color when I expected a line with a shade of gray.
My question is: Is the object really getting enclosed since I remember when I ran a similar code of mine into a different OS the lines with color are not see at all but are seen in my computer. Additionally, why are some of the lines in a different color given that I was expecting a shade of gray.
Mat src, src_gray;
Mat dst, detected_edges;
const char* window_name = "THRESHOLDED IMAGE";
/**
* #function connectedComponent
*/
static void connectedComponent(int, void*)
{
Mat test; //dummy
Mat sub;
int newObject = 0;
int zeroTest = 0, nonZero = 0;
int arr[5] = {0,0,0,0,0};
/// Reduce noise with a kernel 3x3
blur( src_gray,detected_edges, Size(3,3) ); //filtering out of noise
namedWindow("INITIAL", WINDOW_NORMAL);
imshow("INITIAL",detected_edges);
resizeWindow("INITIAL", 300, 300);
threshold(detected_edges, detected_edges, 0,255, THRESH_BINARY | THRESH_OTSU);
int** newSub = new int*[detected_edges.rows];
for(int i = 0; i < detected_edges.rows; i++)
newSub[i] = new int[detected_edges.cols];
for(int i = 0; i < detected_edges.rows; i++){
for(int j = 0; j < detected_edges.cols; j++){
newSub[i][j] = 0;
}
}
/*INITIAL MARKING LOOP*/
for(int i = 0; i < detected_edges.rows; i++){
for(int j = 0; j < detected_edges.cols; j++){
if(detected_edges.at<uchar>(i,j) == 0){
if(i-1 < 0 && j-1 < 0){
newObject = newObject + 1; //no values
newSub[i][j] = newObject;
}else if(i-1 >= 0 && j-1 < 0){
if(newSub[i-1][j] != 0){
newSub[i][j] = newSub[i-1][j]; //only up has value
}else{
newObject = newObject + 1; //no values
newSub[i][j] = newObject;
}
}else if(i-1 < 0 && j-1 >= 0){
if(newSub[i-1][j] != 0){
newSub[i][j] = newSub[i-1][j]; //only left has value
}else{
newObject = newObject + 1; //no values
newSub[i][j] = newObject;
}
}else{
if(newSub[i-1][j] == 0 && newSub[i][j-1] == 0){
newObject = newObject + 1; //no values
newSub[i][j] = newObject;
}else if(newSub[i-1][j] == newSub[i][j-1]){ //same value
newSub[i][j] = newSub[i-1][j];
}else if((newSub[i-1][j] != 0 && newSub[i][j-1] == 0)){
newSub[i][j] = newSub[i-1][j]; //only up has value
}else if(newSub[i-1][j] == 0 && newSub[i][j-1] != 0 ){
newSub[i][j] = newSub[i][j-1]; //only left has value
}else if(newSub[i-1][j] != newSub[i][j-1]){
newSub[i][j] = newSub[i-1][j]; //different values follow upper's value
}
}
}
}
}
int a = 1;
int maxRows = detected_edges.rows;
int maxCols = detected_edges.cols;
/*CONNECTING PIXELS RIGHT-BOTTOM*/
while(a < newObject){
int update = 0;
for(int i = 0; i < maxRows; i++){
for(int j = 0; j < maxCols; j++){
if(newSub[i][j] == a){
if(i+1 < maxRows && j+1 < maxCols){
if(newSub[i][j+1] > a){ //both points allowed
int value = newSub[i][j+1]; //get the value I need to replace
for(int h = 0; h < maxRows; h++){
for(int k = 0; k < maxCols; k++){
if(newSub[h][k] == value){ //replace all instances of that value
newSub[h][k] = a;
}
}
}
update = 1;
}
if(newSub[i+1][j] > a){ //both points allowed
int value = newSub[i+1][j]; //get the value I need to replace
for(int h = 0; h < maxRows; h++){
for(int k = 0; k < maxCols; k++){
if(newSub[h][k] == value){
newSub[h][k] = a; //replace all instances of that value
}
}
}
update = 1;
}
}else if(i+1 > maxRows && j+1 < maxCols){
if(newSub[i][j+1] > a){ //bottom is not allowed
int value = newSub[i][j+1]; //get the value I need to replace
for(int h = 0; h < maxRows; h++){
for(int k = 0; k < maxCols; k++){
if(newSub[h][k] == value){
newSub[h][k] = a; //replace all instances of that value
}
}
}
update = 1;
}
}else if(i+1 < maxRows && j+1 > maxCols){
if(newSub[i+1][j] > a){ //right is not allowed
int value = newSub[i+1][j]; //get the value I need to replace
for(int h = 0; h < maxRows; h++){
for(int k = 0; k < maxCols; k++){
if(newSub[h][k] == value){ //replace all instances of that value
newSub[h][k] = a;
}
}
}
update = 1;
}
}
}
}
}
a++;
}
/*CONNECTING PIXELS LEFT-TOP*/
a = newObject;
while(a > 0){
int update = 0;
for(int i = maxRows-1; i > 0; i--){
for(int j = maxCols-1; j > 0 ; j--){
if(newSub[i][j] == a){
if(i-1 >= 0 && j-1 >= 0){
if(newSub[i][j-1] > a){ //both points allowed
int value = newSub[i][j-1]; //get the value I need to replace
for(int h = 0; h < maxRows; h++){
for(int k = 0; k < maxCols; k++){
if(newSub[h][k] == value){
newSub[h][k] = a;
}
}
}
update = 1;
}
if(newSub[i-1][j] > a){
int value = newSub[i-1][j]; //get the value I need to replace
for(int h = 0; h < maxRows; h++){
for(int k = 0; k < maxCols; k++){
if(newSub[h][k] == value){ //replace all instances of that value
newSub[h][k] = a;
}
}
}
update = 1;
}
}else if(i-1 >= 0 && j-1 < 0){
if(newSub[i][j-1] > a){ //left is not allowed
int value = newSub[i][j-1]; //get the value I need to replace
for(int h = 0; h < maxRows; h++){
for(int k = 0; k < maxCols; k++){ //replace all instances of that value
if(newSub[h][k] == value){
newSub[h][k] = a;
}
}
}
update = 1;
}
}else if(i-1 < 0 && j-1 >= 0){
if(newSub[i-1][j] > a){ //top is not allowed
int value = newSub[i-1][j]; //get the value I need to replace
for(int h = 0; h < maxRows; h++){
for(int k = 0; k < maxCols; k++){ //replace all instances of that value
if(newSub[h][k] == value){
newSub[h][k] = a;
}
}
}
update = 1;
}
}
}
}
}
a--;
}
for(int i = 0; i < maxRows; i++){
for(int j = 0; j < maxCols; j++){
int check = 0;
if(newSub[i][j] != 0){
for(int k = 0; k < 5; k++){
if(newSub[i][j] == arr[k]){ //check if there is an instance of the value in the given array of values
check = 1;
break;
}
}
if(check == 0){
for(int r = 0; r < 5; r++){
if(arr[r] == 0){
arr[r] = newSub[i][j]; //if new value is found add to array
break;
}
}
}
}
}
}
/*
I HAVE AN ARRAY CONTAINING ALL VALUES
**/
src.copyTo( sub, detected_edges);
sub = Scalar::all(0);
/*SET AN INTENSITY FOR CORRESPONDING VALUES*/
int intensity = 50;
a = 0;
while(a < 5){
int update = 0;
for(int i = 0; i < maxRows; i++){
for(int j = 0; j < maxCols; j++){
if(newSub[i][j] == arr[a]){
sub.at<uchar>(i,j) = intensity;
}
}
}
a++;
intensity = intensity + 50;
}
a = 250;
/*GETTING MIN-MAX COORDINATES*/
while(a >= 50){
int setter = 0;
int minRow = 0;
int minCol = 0;
int maxRow = 0;
int maxCol = 0;
for(int i = 0; i < maxRows; i++){
for(int j = 0; j < maxCols; j++){
if(sub.at<uchar>(i,j) == a){
if(setter == 0){
minRow = i;
minCol = j;
maxRow = i;
maxCol = j;
setter = 1;
}else{
if(i <= minRow){
minRow = i;
}
else{
if(i > maxRow){
maxRow = i;
}
}
if(j <= minCol){
minCol = j;
}
else{
if(j > maxCol){
maxCol = j;
}
}
}
}
}
}
/*THIS IS WHERE I MAKE MY BOUNDING BOX*/
for(int i = minRow; i < maxRow; i++){
sub.at<uchar>(i,minCol) = 255; //set up the horizontal lines
sub.at<uchar>(i,maxCol) = 255;
}
for(int i = minCol; i < maxCol; i++){
sub.at<uchar>(minRow,i) = 255; //set up the vertical lines
sub.at<uchar>(maxRow,i) = 255;
}
a = a - 50;
}
dst = Scalar::all(0);
src.copyTo( dst, detected_edges);
imshow( window_name, dst );
namedWindow("FINAL", WINDOW_NORMAL);
imshow("FINAL",sub); //final output
resizeWindow("FINAL", 300, 300);
for(int i = 0; i < detected_edges.rows; i++)
delete[] newSub[i];
delete[] newSub;
}
/**
* #function main
*/
int main( int, char** argv )
{
/// Load an image
src = imread( argv[1] );
if( src.empty() )
{ return -1; }
/// Create a matrix of the same type and size as src (for dst)
dst.create( src.size(), src.type() );
/// Convert the image to grayscale
cvtColor( src, src_gray, COLOR_BGR2GRAY ); //grayscale for one channel for easy computation
/// Create a window
namedWindow( window_name, WINDOW_NORMAL );
resizeWindow(window_name, 300,300);
/// Show the image
connectedComponent(0, 0);
/// Wait until user exit program by pressing a key
waitKey(0);
return 0;
}
How can I convert byte array to Mat which is received from socket ?.
My client application will send color image data like this
Mat frame; //colour image
int imgSize = frame.total()*frame.elemSize();
int bytes = send(clientSock, frame.data, imgSize, 0));//write to the socket
And the server will receives the data like
char sockData[imgSize];
Mat img;
for (int i = 0; i < imgSize; i += bytes) {
bytes = recv(connectSock, sockData +i, imgSize - i, 0));
}
// Write to mat
for (int i = 0; i < img.rows; i++) {
for (int j = 0; j < img.cols; j++) {
(img.row(i)).col(j) = (uchar)sockData[((img.cols)*i)+j];
}
}
I am getting distorted image at the receiver. Is there any problem in my code ?
Thanks in advance.......
If you have colour image you may read it in a math with 3 channels of uchar so change this piece of code:
for (int i = 0; i < img.rows; i++) {
for (int j = 0; j < img.cols; j++) {
(img.row(i)).col(j) = (uchar)sockData[((img.cols)*i)+j];
}
}
with this:
int baseIndex = 0;
for (int i = 0; i < img.rows; i++) {
for (int j = 0; j < img.cols; j++) {
img.at<cv::Vec3b>(i,j) = cv::Vec3b(sockData[baseIndex + 0],
sockData[baseIndex + 1],
sockData[baseIndex + 2]);
baseIndex = baseIndex + 3;
}
}
Maybe this should work.
Doesn't this work?
cv::Mat frame(img.rows, img.cols, CV_8UC3, sockData);
Just replace CV_8UC3 with the correct image format:
CV_<bit-depth>{U|S|F}C(<number_of_channels>)
see https://docs.opencv.org/2.4/modules/core/doc/basic_structures.html
Edit: There is a 5th additional field which can be useful. The number of bytes per row (in case there are a few padding bytes). In working with V4L2 today, I successfully used this cv::Mat constructor:
v4l2_format camera_format = ...; // see https://linuxtv.org/downloads/v4l-dvb-apis/uapi/v4l/vidioc-g-fmt.html#description
cv::Mat mat(camera_format.fmt.pix.height,
camera_format.fmt.pix.width,
CV_8UC3,
raw_data_ptr,
camera_format.fmt.pix.bytesperline);
I solved the problem using below code.
int ptr=0;
for (int i = 0; i < img.rows; i++) {
for (int j = 0; j < img.cols; j++) {
img.at<cv::Vec3b>(i,j) = cv::Vec3b(sockData[ptr+0],sockData[ptr+1],sockData[ptr+2]);
ptr=ptr+3;
}
}
Adding to Michele answer, one can also use the MatIterator to solve this.
cv::Mat m;
m.create(10, 10, CV_32FC3);
// This is the socket data.
float *array = (float *)malloc( 3*sizeof(float)*10*10 );
cv::MatIterator_<cv::Vec3f> it = m.begin<cv::Vec3f>();
for (unsigned i = 0; it != m.end<cv::Vec3f>(); it++ ) {
for ( unsigned j = 0; j < 3; j++ ) {
(*it)[j] = *(array + i );
i++;
}
}
Now you have a float cv::Mat. In case of 8 bit, simply change float to uchar and Vec3f to Vec3b and CV_32FC3 to CV_8UC3
I need to convert the code below from C++ to Java. In C++ I use openCV and I need to convert it in Java using JavaCV.
IplImage* img = cvLoadImage(argv[0]);
int rows = img->height;
int cols = img->width;
Mat matimg(img);
vector<vector<double> > img_vec(rows, vector<double>(cols));
for (int i=0; i < rows; i++) {
for (int j =0; j < cols; j++){
unsigned char temp;
temp = ((uchar*) matimg.data + i * matimg.step)[j * matimg.elemSize() + 1 ];
img_vec[i][j] = (double) temp;
}
}
I've tried the following conversion to java, but it doesn't work properly. I printed the values of temp and it is 0 all the times and for the same imgage the values of matimg.step and matimg.elemSize() are different in the C++ code and the Java code.
In c++ I get matimg.step = 2400 and matimg.elemSize() = 3 while in Java i get 3000 and 1.
Here is the code in java:
IplImage img = cvLoadImage(argv[0]);
int rows = img.height();
int cols = img.width();
CvMat matimg = img.asCvMat();
double img_vec[][] = new double[rows][cols];
for (int i=0; i < rows; i++) {
for (int j =0; j < cols; j++){
short temp;
temp = matimg.data_s().get(i * matimg.step() + j * matimg.elemSize() + 1);
img_vec[i][j] = (double) temp;
}
}
I don't understand where am I doing wrong?
Any help is appreciated,
Thanks.
I've solved my problem using this:
ByteBuffer buffer = img.getByteBuffer();
double img_vec[][] = new double[rows][cols];
for (int i=0; i < rows; i++) {
for (int j =0; j < cols; j++){
int ind = i * img.widthStep() + j * img.nChannels() + 1;
img_vec[i][j] = (buffer.get(ind) & 0xFF);
}
}
I am new to blackberry.
I am trying to convert normal image into sketch effect.I have code to do that in ANDROID.
I have tried to implement it in Blackberry but unable to got output.Here is android code and my blackberry code.
This is android code-
public class ConvolutionMatrix
{
public static final int SIZE = 3;
public double[][] Matrix;
public double Factor = 1;
public double Offset = 1;
public ConvolutionMatrix(int size) {
Matrix = new double[size][size];
}
public void setAll(double value) {
for (int x = 0; x < SIZE; ++x) {
for (int y = 0; y < SIZE; ++y) {
Matrix[x][y] = value;
}
}
}
public void applyConfig(double[][] config) {
for(int x = 0; x < SIZE; ++x) {
for(int y = 0; y < SIZE; ++y) {
Matrix[x][y] = config[x][y];
}
}
}
public static Bitmap computeConvolution3x3(Bitmap src, ConvolutionMatrix matrix) {
int width = src.getWidth();
int height = src.getHeight();
Bitmap result = Bitmap.createBitmap(width, height, src.getConfig());
int A, R, G, B;
int sumR, sumG, sumB;
int[][] pixels = new int[SIZE][SIZE];
for(int y = 0; y < height - 2; ++y) {
for(int x = 0; x < width - 2; ++x) {
// get pixel matrix
for(int i = 0; i < SIZE; ++i) {
for(int j = 0; j < SIZE; ++j) {
pixels[i][j] = src.getPixel(x + i, y + j);
}
}
// get alpha of center pixel
A = Color.alpha(pixels[1][1]);
// init color sum
sumR = sumG = sumB = 0;
// get sum of RGB on matrix
for(int i = 0; i < SIZE; ++i) {
for(int j = 0; j < SIZE; ++j) {
sumR += (Color.red(pixels[i][j]) * matrix.Matrix[i][j]);
sumG += (Color.green(pixels[i][j]) * matrix.Matrix[i][j]);
sumB += (Color.blue(pixels[i][j]) * matrix.Matrix[i][j]);
}
}
// get final Red
R = (int)(sumR / matrix.Factor + matrix.Offset);
if(R < 0) { R = 0; }
else if(R > 255) { R = 255; }
// get final Green
G = (int)(sumG / matrix.Factor + matrix.Offset);
if(G < 0) { G = 0; }
else if(G > 255) { G = 255; }
// get final Blue
B = (int)(sumB / matrix.Factor + matrix.Offset);
if(B < 0) { B = 0; }
else if(B > 255) { B = 255; }
// apply new pixel
result.setPixel(x + 1, y + 1, Color.argb(A, R, G, B));
}
}
// final image
return result;
}
}
and following is my Blackberry code that I have tried-
public ConvolutionMatrix(int size) {
Matrix = new double[size][size];
}
public void setAll(double value) {
for (int x = 0; x < SIZE; ++x) {
for (int y = 0; y < SIZE; ++y) {
Matrix[x][y] = value;
}
}
}
public void applyConfig(double[][] config) {
for(int x = 0; x < SIZE; ++x) {
for(int y = 0; y < SIZE; ++y) {
Matrix[x][y] = config[x][y];
}
}
}
public static Bitmap computeConvolution3x3(Bitmap src, ConvolutionMatrix matrix) {
int width = src.getWidth();
int height = src.getHeight();
int A, R, G, B;
int sumR, sumG, sumB;
int[] argb= new int[width*height];
int[][]newargb=new int[width][height];
src.getARGB(argb, 0, width, 0, 0, width, height);
for(int y=0;y<=height;y++)
{
for (int x=0;x<=width;x++)
{
System.out.println(""+x);
System.out.println(""+y);
newargb[y][x]=argb[width*y+x];
}
}
int[][] pixels = new int[SIZE][SIZE];
for(int y = 0; y < height - 2; ++y) {
for(int x = 0; x < width - 2; ++x) {
// get pixel matrix
for(int i = 0; i < SIZE; ++i) {
for(int j = 0; j < SIZE; ++j) {
pixels[i][j] = newargb[x + i][ y + j];
}
}
A=pixels[1][1];
sumR = sumG = sumB = 0;
for(int i = 0; i < SIZE; ++i) {
for(int j = 0; j < SIZE; ++j) {
A =pixels[i][j] >> 24;
R =pixels[i][j]>> 16 & 0xFF;
G =pixels[i][j] >> 8 & 0xFF;
B =pixels[i][j] & 0xFF;
sumR += (R * matrix.Matrix[i][j]);
sumG += (G * matrix.Matrix[i][j]);
sumB += (B * matrix.Matrix[i][j]);
}
}
// get final Red
R = (int)(sumR / matrix.Factor + matrix.Offset);
if(R < 0) { R = 0; }
else if(R > 255) { R = 255; }
// get final Green
G = (int)(sumG / matrix.Factor + matrix.Offset);
if(G < 0) { G = 0; }
else if(G > 255) { G = 255; }
// get final Blue
B = (int)(sumB / matrix.Factor + matrix.Offset);
if(B < 0) { B = 0; }
else if(B > 255) { B = 255; }
for(int i = 0; i < SIZE; ++i) {
for(int j = 0; j < SIZE; ++j) {
pixels[i][j]=(A << 24) | (R << 16) | (G << 8) | B;
newargb[x ][ y]=pixels[i][j];
}
}
}
}
for(int y=0;y<=height;y++)
{
for (int x=0;x<=width;x++)
{
argb[width*y+x]=newargb[y][x];
}
}
src.setARGB(argb, 0, width, 0, 0, width, height);
return src;
}
}
Common Code for both android and Blackberry-
public Bitmap EmbossImage(Bitmap src) {
System.out.println("In Emboss Effect Image method");
double[][] SharpConfig = new double[][] {
{ 0 , -1, 0 },
{ -1, 5, -1 },
{ 0 , -1, 0 }
};
ConvolutionMatrix convMatrix = new ConvolutionMatrix(3);
convMatrix.setAll(0);
convMatrix.applyConfig(SharpConfig);
convMatrix.Factor = 1;
convMatrix.offset=130;
return ConvolutionMatrix.computeConvolution3x3(src, convMatrix);
}
I have found the answer for my own question.I found convolution related code from this site:
android image processing.
See in the comments part on this link page.
This is android code.Just make it compatible it for blackberry by changing Color class methods.