Module 1.2: Histogram Specification (Matching) : Solved Numerical Example | Digital Image Processing

📊 Mastering Histogram Specification (Matching): Step-by-Step Tutorial! 📊

In this video, I have discussed step by step procedure to solve numerical question based on Histogram Specification (Matching). In my previous two videos, I have explained the step-by-step procedure of Histogram Equalization.

https://youtu.be/crosOdRvRXo

https://youtu.be/Iw-NI6ZCzWk

Disadvantage of Histogram Equalization:
1. Histogram equalization has a disadvantage that it can generate only one type of output image
2. Sometimes it is useful to specify the shape of the histogram

Histogram Specification (Matching):
1. With histogram specification, we can specify the shape of the histogram
2. It doesn’t have to be a uniform histogram
3. For an image, whose enhancement is to be done, we are given an histogram, G(zk), that actually shows how the processed image’s histogram should look after applying the transformation function to the i/p image

You may refer the following books to practice more numerical questions:

1. R.C.Gonzalez and R.E.Woods, “Digital Image Processing”, Prentice Hall, 3rd Edition,2011.

2. S. Sridhar , “Digital Image Processing”, Oxford University Press,2011

If you have any suggestion/feedback or if you want videos on any topic related to digital image processing , please do comments in my video or write email to me: ask2ajaysir@gmail.com

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#histogram, #histogram equalization, #histogram matching, #histogram stretching, #histogram specification, #image enhancement, #image restoration, #image segmentation, #image compression

Видео Module 1.2: Histogram Specification (Matching) : Solved Numerical Example | Digital Image Processing канала Electronics By Ajay Sir

#histogram #histogram equalization #histogram matching #histogram stretching #histogram specification #image enhancement #image restoration #image segmentation #image compression

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