I need to change the background of an image that has one car. Do you know a function or a neuronal network where you insert the input image and return only the car?
Thank you
Related
Given a picture, I would like to modify it to create the effect of rain on glass. What steps should I take to achieve this goal?
Suppose we want to add the effect of a single drop of water on a given point in an image, some pixels around that point should be modified in some way: how these pixels should be modified?
Simple way is to just make transparent image that is actually image overlay. That looks like common approach of water drop effects in gimp.
example:
http://natural-drops.deviantart.com/art/drop-of-rain-373710307
I think that in order to make optically correct image one need to have full 3D info of environment, because most optics equations that one needs to simulate correct image includes each object distance.
I want to create simple 2d racing game on FM, I have track (racing map) bitmap. Image component must show only part of that bitmap depending on car position. Is there any way to define coordinates of bitmap's start point, from which Image will show this bitmap. If Image doesn't support that, what component does? Thanks.
Use a TSubImage. This component is similar to a TImage, but lets you specify a sub-section of the image to be displayed.
I want to add an image over another image in emguCV at specific position. Addweighted() don't allow positioning. Is there any way i can position the image.
for example i have an image1 of 640x480 and i want to add a drop of water 10x30 on image1 at position 60x200. Is there any possible way to achieve this?
You can do the same thing as in this post with EmguCV function. In fact, just select a ROI and copy your second image to this ROI. Then, cancel the ROI.
Hope it helps!
I have a task where I need to track a series of objects across several frames, and compose the background from the image. The issue arises because one of the objects does not move until near the end, so I'm forced to take a shoddy average of the image. However, if I can blur out the objects, I think I'll be able to improve the background average.
I can identify a subsection of the image where the object is, an m by m array. I just need the ability to blur out this section with a filter. However, imfilter uses a fullsized array (image) as its input, so I cannot simply move along this array pixel by pixel in a for loop. But, if I try removing the image to take an image, I cannot put it back in without using another for loop, which would be computational expensive.
Is there a method of mapping a blur to a subsection of an image using MATLAB? Can this be done without using two for loops?
Try this...
sub_image = original_image(ii:jj,mm:nn)
blurred_sub_image = imfilter(sub_image, etc)
original_iamge(ii:jj,mm:nn) = blurred_sub_image
In short, you don't need to use a for loop to address a subsection of an image. You can do it directly, both for reading and writing.
I have two images that I want to display on top of each other. one image a single channel image and the second image is a RGB image but with most of the area being transparent.
How these two images are generated in different functions. I know to just display these on top of each other, i can use the same window name when calling cvShowImage() but this doesn't work when they are drawn from different functions. When trying this, I used cvCvtcolor() to convert he binary image from single channel to RGB and then displaying the second image from another function. But this didn't work. Both images are same dimension, depth and number of channels (after conversion).
I want to avoid passing in one image into the second function and then draw them. So I'm looking for a quick dirty trick to display these two images overlapped.
Thank you
EDIT:
I don't think that's possible. You'll have to create a new image or modify an existing one. Here's an article that shows how to do this: Transparent image overlays in OpenCV
There is no way to "overlay" images. cvShowImage() displays a single image from memory. You'll need to blend/combine them together. There are several ways to do this.
You can copy one into 1 or 2 channels of the other, you can use logical operations like AND, OR or XOR, you can use arithmetic operations like Add, Multiply and MultiplyScale (these operations will saturate values larger than 255). All these can also be done with an optional mask image like your blob image.
Naturally, you may want to do this into a third buffer so as not to overwrite your originals.
Apparently now it can be done using OpenCV 2.1 version
http://opencv.willowgarage.com/documentation/cpp/highgui_qt_new_functions.html#cv-displayoverlay