Important-codes-MSI-project

This repo contain codes that are useful for images

pre-processing
Algorithms related to Multispectal Images such as, i. Linear regresions
ii. SVMs
iii. PCA/LDA and FDA
iv. KNN
v. Deep Neural Netwoks

Multispectal images in this repo contain 14 bands from 365nm to 940nm Image size is 100x100

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
DNN_on_finsh_images		DNN_on_finsh_images
Explanations		Explanations
ReadmeImgs		ReadmeImgs
735nm.png		735nm.png
AdjustFileOrder.py		AdjustFileOrder.py
CheckErrosInFolders.py		CheckErrosInFolders.py
PCA.py		PCA.py
README.md		README.md
RegressionOnPalmOil.py		RegressionOnPalmOil.py
RegressionOnTumeric.py		RegressionOnTumeric.py
RegressionOnTumeric_2018Samples.py		RegressionOnTumeric_2018Samples.py
Resizing_images.py		Resizing_images.py
Resizing_images_all.py		Resizing_images_all.py
RubberLabels.xlsx		RubberLabels.xlsx
SignatureAFL.py		SignatureAFL.py
SignatureOIL.py		SignatureOIL.py
SignatureRubber.py		SignatureRubber.py
SignatureTUME.py		SignatureTUME.py
SignatureTUME_2018Samples.py		SignatureTUME_2018Samples.py
SupperPixelTumeric2018.py		SupperPixelTumeric2018.py
bhatacharyaDistancePalmOil.py		bhatacharyaDistancePalmOil.py
bhatacharyaDistanceRubber.py		bhatacharyaDistanceRubber.py
bhatacharyaDistanceTumeric.py		bhatacharyaDistanceTumeric.py
croping images.py		croping images.py
cropping_images_one_by_one.py		cropping_images_one_by_one.py
cropping_images_one_by_one_Fish.py		cropping_images_one_by_one_Fish.py
image_crop_folder_MSI.py		image_crop_folder_MSI.py
image_crop_folder_MSI_fully_automated.py		image_crop_folder_MSI_fully_automated.py
image_crop_folder_MSI_fully_automated_click_only_ones.py		image_crop_folder_MSI_fully_automated_click_only_ones.py
iris_data.mat		iris_data.mat
mouseClickevent.py		mouseClickevent.py
superoverlap.py		superoverlap.py

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