2/ According to your article "Before applying CLAHE, the leaf image was converted from RGB color space to Hunter Lab color space" while I see the CLAHE function you provided is BGR to Gray color space. Which is correct for you?
3/ The article says "The intensity channel of the leaf image was divided into P ×Q regions" and "a value of 7
for both P and Q provided the best results.” I can't find where you have set P=Q=7 in the applyCLAHE function?
4/ In the preprocessing step, you apply CLAHE on the whole dataset. So I understand the steps you do correctly:
1- applyHistogramEqualization, 2-applyHEFFilter, 3- applyCLAHE, 4. train model (Data Augmentation during runtime).
5/ According to Ablation study of different components of the proposed pipeline (applied CLAHE, Augmentation, & Classifier Network with Accuracy 99.30). Can you provide this model? I want to test it and compare it with the model I created from the training results according to your instructions.
(I just found: MobileNetV1_WithoutCLAHE_NoAug_WithoutDense_ValBest.h5,
MobileNetV2_WithCLAHE_NoAug_WithoutDense_ValBest.h5
instead of what I expected is
MobileNetV2_WithCLAHE_withAug_withDense_ValBest.h5)
I greatly appreciate your article and contribution. Thank you again
Thank you for responding. Let me further ask that:
1/ "PlantVillage-Tomato.zip" that I downloaded from https://data.mendeley.com/public-files/datasets/tywbtsjrjv/files/d5652a28-c1d8-4b76-97f3-72fb80f94efc/file_downloaded" has CLAHE applied?
2/ According to your article "Before applying CLAHE, the leaf image was converted from RGB color space to Hunter Lab color space" while I see the CLAHE function you provided is BGR to Gray color space. Which is correct for you?
3/ The article says "The intensity channel of the leaf image was divided into P ×Q regions" and "a value of 7 for both P and Q provided the best results.” I can't find where you have set P=Q=7 in the applyCLAHE function?
4/ In the preprocessing step, you apply CLAHE on the whole dataset. So I understand the steps you do correctly: 1- applyHistogramEqualization, 2-applyHEFFilter, 3- applyCLAHE, 4. train model (Data Augmentation during runtime).
5/ According to Ablation study of different components of the proposed pipeline (applied CLAHE, Augmentation, & Classifier Network with Accuracy 99.30). Can you provide this model? I want to test it and compare it with the model I created from the training results according to your instructions. (I just found: MobileNetV1_WithoutCLAHE_NoAug_WithoutDense_ValBest.h5, MobileNetV2_WithCLAHE_NoAug_WithoutDense_ValBest.h5 instead of what I expected is MobileNetV2_WithCLAHE_withAug_withDense_ValBest.h5)
I greatly appreciate your article and contribution. Thank you again