How to make image classification

Hello,I am doing Plant leaf disease detection & classification project . I am new to this field.

I'm working on Cucumber, I have make a segmentation using hsv and then i extract the feature like 'contrast','homogeneity','Correlation','Energy' for 20 image of healthy plant and 20 image for infected plant and i save it as dataset '.mat'. can anyone give me an advice for how to make a SVM classification

Answer 1

[Image Analyst]

To process 20 images, see the code samples in the FAQ: https://matlab.fandom.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F

Convert rgb to hsv like this:

hsvImage = rgb2hsv(rgbImage);

To get features like contrast, energy, etc. call grayprops().

[Alaa Ibrahim Eldesoky]

I'm done it already. I need to know how to make a classification using SVM.

[Image Analyst]

Did you follow the steps in the help for "Optimize an SVM Classifier Fit Using Bayesian Optimization"?

[Alaa Ibrahim Eldesoky]

No , okay I'll try to do it . Thanks