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- Goal: Build OpenCV project and learn to access(read/write) image pixels.
- Practice some basic image processing functions: add noise, color reduction, image enhancement, image addition.
- Learn to access pixels by different ways: scanning an image with pointers, scanning an image with iterators.
- Learn to write efficient image scanning loops.
- Readings and sample codes
- OpenCV 2 computer vision application programming cookbook. R. Laganière, Packt Publishing, 2011. [Book URL]
- OpenCV 3 computer vision application programming cookbook. R. Laganière, Packt Publishing, 2017. [Book URL]
- Chapter 1 Playing with images (code), Chapter 2 Manipulating the Pixels (code)
- Test images
- You can use the provided sample codes in your homework, but you have to replace the images with yours.
- Report
- Create a web page with description texts and a lot of pictures for the following programs
- saltImage.cpp: Add salt-and-pepper noise into an image. (p.40 in OpenCV2 PDF)
- colorReduce.cpp: Reduce the number of colors into 1/N. (p.43 in OpenCV2 PDF)
- Compare speeds of different pixel access methods with the table in p.53. (p.53 in OpenCV2 PDF)
- Use an OpenCV function cv:getTickCount() to obtain the speed of pixel access.
- Compare speeds of different pixel access methods with the table in p.53. (p.53 in OpenCV2 PDF)
- contrast.cpp: Enhance an image by sharpening methods. (p.57 in OpenCV2 PDF)
- addImages.cpp: Add two images to get a result image (p.61 & 65 in OpenCV2 PDF)
- Create a web page with description texts and a lot of pictures for the following programs
- Note for the students who already did this homework
- Study the Video IO and Video Analysis modules of OpenCV, and write a report. Yo have to show some programming results in your report.
- References from OpenCV tutorials: Video Input and Output (videoio module), Video analysis (video module)
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