Does Magick++ provide everything from the underlying API? - imagemagick

Does Magick++ let you do everything that ImageMagick can do? A quick skim through the docs doesn't answer that question, and for example I couldn't find a Magick++ equivalent of MagickSelectiveBlurImage.
In case Magick++ is limited in that way, is it possible to e.g. use some methods from the C API to fill in the blanks? I.e. do the 2 APIs interoperate?
How about PythonMagick?

The Magick++ API has likely not kept up with ImageMagick API changes. The ImageMagick API is still available via a MagickLib namespace and if you study how the Magick++ Image class works, you will see that it is possible to use the C API and pass the result into Image. It might be possible to inherit from Magick++ Image and add new methods that way.
PythonMagick is based on the Magick++ API so it supports what Magick++ does.
Bob Friesenhahn (Magick++ author)

Related

Functions for the Following GIMP Functionality

I'm making my first foray into GIMP scripting (hopefully in Python, but I'm open to Scheme too). I know exactly the steps I want to take using the GIMP UI, and I'm trying to determine which, if any, of the steps can be executed from a script, since the documentation I found suggested that not all functionality can be accessed in this way. Looking at the documentation helped with some, but not all, of what I'm looking for, so I'm hoping for a pointer as to which of the following functionality I can access from Python, and what function I will need, since my googling as come up short.
new layer
new layer from visible
duplicate layer
changing mode to overlay/grain extract/grain merge
gaussian blur
merge layer down
desaturate (lightness)
adjust color curves
filling a transparent layer with the paper pattern
adjust opacity
Open the Python console (Filters>Python-fu>Console).
Hit the Browse... button
Enter what you look for in the top bar on the left (for instance "desaturate")
Select the call in the list below the search filter and see the doc on the right
This includes any callable installed script/plugin (if the authors did their homework). "Apply" copies a call template in the Python console.
You can do more in Python than in Scheme.
The doc for the Python classes is here. The more frequent API calls have corresponding methods/attributes.
If you are on Windows, some tricks to ease your debugging here.
There is not always a direct mapping between UI actions and the API. Some UI actions may correspond to several API calls.
In Gimp 2.10, the GEGL filters aren't callable from Python (at least via the regular Gimp API), unless they replace an existing 2.8 filter (like the Gaussian blur).

Inspect CGColorSpace ICC color profile data on iOS

I'm looking for a way to inspect the the ICC color profile data provided CGColorSpace's copyICCData() method.
Specifically, I'm loading PNG images into UIImages on iOS, and trying to find a way to use the let iccData:CFData? = aUIImage.cgImage!.colorSpace!.copyICCData() to determine the gamma for the image file.  This is for a game that uses 3D rendering— if the source image has a standard 2.2 gamma, I'll load the image data into a texture as sRGB (e.g. MTLPixelFormatRGBA8Unorm_sRGB) and if it has a gamma of 1.0 I'll instead load it as a linear texture (e.g. MTLPixelFormatRGBA8Unorm).
Note: The solution of just passing a UIImage/CGImage to the rendering system (SceneKit/Metal) and letting it sort it out won't work here because: 1. Some of the rendering I'm doing is assembling 2D images into a 3D texture, so that's something I need to do with raw data, not something I can just read from a standard image file format; 2. I'm specifically trying to pass gamma-1.0 images into the rendering system to avoid the overhead of sRGB→linear conversion (rendering is in linear space).
Also: Manual ICC-parsing solutions, Apple-API-using solutions, and open-source library suggestions are all acceptable answers.  This is not specifically a query for tool recommendation — any solution that'll work is a good one — but in my research, manual ICC parsing would be unwieldy and Apple's APIs don't seem to expose any ICC properties.  So I believe the most likely answer is a pointer to some library out there that I haven't been able to find via Google or GitHub or CocoaPods or StockOverflow, and will be gladly accepted.
Your best bet is to use sample icc 'https://sourceforge.net/projects/sampleicc/'. Just get the profile data as you described, then use OpenIccProfile to load it up. From there, get a ref to the header structure (.m_Header) and pull the info you need. I'd also recommend you take a look at RefIccMax 'https://github.com/InternationalColorConsortium/RefIccMAX' which is a newer version of the same lib, but not ready for primetime.

Converting an image to Doc

I am trying to make an application which make a editable document file(doc or pdf) from an image. I am planning to use tesseract for extraction of the text. But i am not yet sure how to get the basic formatting of the text(size,bold,italic,underline) & images that might be present in the document image. I am planning to use J2EE, to make a Web Based App(Have to use J2EE). I think i might be able to recognize the components and formatting of the document using OpenCV, but i am not really sure.
Given that you are planning to use Tesseract for the basic OCR capabilities, try looking into the hORC formatted output. That includes quite a lot of additional information about font-size, font-face, position, etc.
You can find a description of hOCR here:
https://docs.google.com/document/d/1QQnIQtvdAC_8n92-LhwPcjtAUFwBlzE8EWnKAxlgVf0/preview#heading=h.e903b9bca924
If that doesn't work out, it depends on how much effort you want to put into Tesseract. It's internal APIs (available in Java via Tess4J, among others) do provide much of the information that you would need to reconstruct the page layout.

using LEADTOOLS to convert doc to pdf

I am playing around with Leadtools to see how it might benefit me but i am a little frustrated with their documentation regarding how the process works. I am creating a library with methods that take an input file, convert it to pdf, add a qrcode to the file and save it and then reading the qrcode again.
Does a pdf have to be converted to an image before leadtools is
able to read the qrcode?
Does leadtools allow converting from
doc to pdf and then adding the qrcode or do i have to convert it to
an image as well?
Is there anywhere I could look at code
samples of how I can go about doing what I talked about other than
the leadtools site itself?
I am sorry to hear that you are having difficulties, but I will do my best to get you pointed in the right direction.
To answer your questions:
A1.) Yes, the PDF will need to be rasterized before the LEADTOOLS barcode engine can be used. Our barcode engine will only work with raw image data. Once the file is decompressed into raw data, we will not access the file any further.
A2.) Yes, you can rasterize Microsoft Word documents using either our file I/O methods or with the LEADTOOLS Virtual Printer. Once you have the raw image data, you can pass it to the barcode engine to write the QR code into the data. Once the barcode is written, you can then compress the image into any supported format, including (raster) PDF. You can also create a searchable PDF by running the resultant image through an OCR engine & outputting to PDF.
A3.) The LEADTOOLS SDK has a main barcode demo that should illustrate the ability of the SDK to handle the features you describe here. There are also tutorials in the help file, and various projects on our support forums. We have also created a couple different CodeProject articles here:
Multi-Platform Barcode with LEADTOOLS 18
How to Read Barcodes from Images using LEADTOOLS
You haven't mentioned here what programming language you are developing with or what the specific problem are that you have encountered. Without knowing either of those, it's difficult to get more specific into any methods or other resources to check out. For a simple raster conversion of a Microsoft Word Doc to PDF and writing a barcode, I think this would probably take between 10-15 lines of code.
If you have not already, I would highly recommend sending an email to Support#leadtools.com or open a live chat with the LEADTOOLS Support team from LEADTOOLS.com. We can get into more specifics there and help you more directly with any issues you are encountering.
Walter Bates
LEADTOOLS Developer Support
I tried adding this as a comment, but it is apparently too long for that. So I have added it as another answer.
Even if you are building a DLL, I would suggest starting out building a simple demo with a view of the image so you can see what exactly is happening to the image. Once you are comfortable that the image is being modified the way you want, then implement that code in your own library.
Also, I would recommend testing out the toolkit with the provided main demos. The demos are there to illustrate the different options you have access to in the code. If you can accomplish what your application or library will need to do through the demos, then it would be worth your time to begin coding specifically what you need. You might even need to use multiple demos to verify the tools can accomplish the goals that you have. You have all the toolkit code for the demos, so you can take them apart and use the specific pieces that you need in your application.
If you are having trouble identifying which demos to try out or whether the toolkit has the specific functionality that you need, your best bet is to contact Tech Support directly to ask. We are here to help get you pointed in the right direction.
To get down to brass tacks, the source of the image data is not all that important from the perspective of the barcode engine. It needs a RasterImage handle (raw image data) to write the specified barcode. Whether the image data is created on the fly, read from file, or generated from a scanner, it does not make a whole lot of difference.
To find the main .NET barcode demo, I would start out by going to the LEADTOOLS shortcuts. To get there, go to the Start menu -> LEADTOOLS -> Help and Demos. The shortcuts are broken down by programming language, feature, and then the base toolkit. You should be able to find the WinForms .NET barcode demo here:..\Shortcuts.NET Class Libraries.NET Framework\01 Imaging\07 Barcode
Our toolkit example is a .NET WinForms project, but it will work in ASP.NET also.
Here are some links to tutorials if you want to dig right into the code:
Loading and Displaying an Image in WinForms
Reading Barcodes
HOW TO: Load and Display an Image with WebImageViewer
There was also this recent code tip posted illustrating how to read and write UTF-8 characters in a QR barcode.
We provide both .NET 2.0 and .NET 4.0 DLLs for our barcode engine. Both of these work within Visual Studio 2012.

Skeletonization in opencv

Is there any specific function that can be used in opencv for skeletonization? Besides, i searched for some time and want to know if opencv implements voronoi-skeleton (seems like there is but is it really are)?
It looks like Voronoi-Skeleton is implemented in the _cvConstructSkeleton() and _cvLee() functions in opencv/src/cvaux/cvlee.cpp.
I haven't seen any official documentation about how to use this functionality in OpenCV. Since cvlee.cpp is in the cvaux folder, I think these may be experimental OpenCV functions.

Resources