how to train svm using glcm features

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Athulya N 2019-10-15

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/485351-how-to-train-svm-using-glcm-features

回答： Rajani Mishra 2020-3-9

i am doing project on localizing non-uniform deblurring in an image.i've used 6 sliding windows(4*4 , 8*8 ,16*16 ,32*32 ,64*64 ,128*128) on the image and glcm features are extracted from the 1st and second order derivative of the image on each sliding winow.now i need to train them using svm so that authentic regions will be labeled as 0 and deblurred region as 1. but i am not understanding that using glcm features how can i train them.Could anyone help me

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Answer 1

Rajani Mishra 2020-3-9

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https://ww2.mathworks.cn/matlabcentral/answers/485351-how-to-train-svm-using-glcm-features#answer_419211

GLCM matrix easily helps to extract the texture features.

To calculate different statistics (Example: Contrast, Correlation) from “glcm” you can use function “graycoprops” that will calculate the statistics properties defined in its “properties” argument. For more information refer to below link:

https://www.mathworks.com/help/images/ref/graycoprops.html

Since you have already extracted features. For classification using SVM using custom kernel please refer to below link:

https://www.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html