emish8 / image-preprocessing-using-opencv-and-pil

Image Preprocessing Using OpenCV and PIL

Image-Preprocessing-Using-OpenCV-and-PIL

File 1

1. Gray Coversion (avg method, cv2 filter , wieghted avg method)

2. Morhology (erosion, dilation, opening, closing, gradient, tophat, blackhat)

3. Gray to Binary

File 2

1. Smoothing ( gausian, avg, w_avg, median, py_gaus, py_part_blur)

• OpenCV2: Gaussing BLur, Median Blur, Average Blur, Wieghted Average (filter2D)

• PIL: Gaussing Blur, Blur part of img

2. Filter ( min, max) PIL - Min Filter ( image Darkening)

PIL - Max Fliter ( Image Brightening)

3. Noise Reduction OpenCV2 - Bilateral Filter

OpenCV2 - Gaussing Blur

File 3

Sobel - Vertical and Horizontal Feature Extraction

Laplace - Finding Edges

Unsharp masking - thourght subtration and PIL inbuilt function