Merge branch 'main' of https://gitarero.ecam.fr/dorian.veloso/GrpC_Identikit

roboticsworkshopimageprocessing.py

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+import numpy as np
+import cv2 as cv
+from matplotlib import pyplot as plt
+
+imagepath = "E:\\ECAM\\2022-23\\Pathway Discovery Workshops\\images-20230626\\ecam.png"
+
+# Load Image
+im = cv.imread(imagepath)
+if im is None:
+    print("Error: Image not found at", imagepath)
+    exit()
+
+# Get Dimensions
+dimensions = im.shape
+height, width, channels = dimensions
+print('Image Dimension :', dimensions)
+print('Image Height :', height)
+print('Image Width :', width)
+print('Number of Channels :', channels)
+
+# Resize Image
+rwidth, rheight = 700, 700
+rdim = (rwidth, rheight)
+Resized_Image = cv.resize(im, rdim, interpolation=cv.INTER_AREA)
+cv.imshow("Resized Image", Resized_Image)
+cv.waitKey(0)
+cv.destroyAllWindows()
+
+# Convert to Grayscale
+Gray_Img = cv.cvtColor(Resized_Image, cv.COLOR_BGR2GRAY)
+cv.imshow("Grayscale Image", Gray_Img)
+cv.waitKey(0)
+cv.destroyAllWindows()
+
+# Threshold Image
+ret, Thresh_Img = cv.threshold(Gray_Img, 100, 255, 0)
+cv.imshow("Threshold Image", Thresh_Img)
+cv.waitKey(0)
+cv.destroyAllWindows()
+
+# Plot Histogram
+hist = cv.calcHist([Gray_Img], [0], None, [256], [0, 256])
+plt.figure()
+plt.title("Grayscale Histogram")
+plt.xlabel("Bins")
+plt.ylabel("# of Pixels")
+plt.plot(hist)
+plt.xlim([0, 256])
+plt.show()
+
+# Find and Draw Contours on Resized Image
+contours, hierarchy = cv.findContours(Thresh_Img, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
+contoured_image = Resized_Image.copy()
+cv.drawContours(contoured_image, contours, -1, (0, 255, 0), 3)
+cv.imshow("Contours on Resized Image", contoured_image)
+cv.waitKey(0)
+cv.destroyAllWindows()
+
+# Draw Contours on Threshold Image
+contoured_thresh = cv.cvtColor(Thresh_Img, cv.COLOR_GRAY2BGR)
+cv.drawContours(contoured_thresh, contours, -1, (0, 255, 0), 3)
+cv.imshow("Contours on Threshold Image", contoured_thresh)
+cv.waitKey(0)
+cv.destroyAllWindows()
+