Actually, I am working these field. Sometimes I don't understand what should I do. If anyone supervise me, I will be thankful.
I have a dataset of rice leaf for training and testing in machine learning. Here is the link: https://data.mendeley.com/datasets/znsxdctwtt/1
I want to develop my project with these techniques;
RGB Image Acquisition & Preprocessing (HSV Conversation, Thresholding and Masking)Image Segmentation(GLCM matrices, Wavelets(DWT))Classifications (SVM, CNN ,KNN, Random Forest)Results with Matlab Codings.- But I have a confusion for final scores for confusion matrices. So I need any technique to check which extraction method is good for dataset.
- My main target is detection normal and abnormal(disease) leaf with labels.
Attached image is collected from a paper.