Experimenting with Blur ,Dialte and Gray scale Images

gray_scale_blur_dialte_erode.py

    import cv2
    import numpy as np
    img = cv2.imread("Resources/lena.png")
    imgGray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # converting to it gray scale image
    cv2.imshow("GrayScale", imgGray)
    # To Blur the image we will use Gaussian Blur to blur
    imgBlur = cv2.GaussianBlur(imgGray,(7,7),0) # as a paramter kernel size is passed
    cv2.imshow("GrayScaleBlur", imgBlur)

    # To detect the edges we use the Canny Filter
    imgCanny = cv2.Canny(imgGray,150,100)
    cv2.imshow("Canny_Edge",imgCanny)

    # Dialate the images
    # inedge detection we didnt get the thick lines so what we can do is to increase thickness is dialate the image
    kernel = np.ones((5,5), np.uint8)
    imgDialted = cv2.dilate(imgCanny,kernel ,iterations=1)
    cv2.imshow("Dialted Image ", imgDialted)
    # Erode the image
    imgEroded=cv2.erode(imgCanny,kernel,iterations=1)
    cv2.imshow("Eroded Image ", imgCanny)
    cv2.waitKey(0)