[CT404]: Assignment 2 Task 1.1 completion

year4/semester1/CT404: Graphics & Image Processing/assignments/assignment2/code/task1/1_single_channel_conversion.py

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+# Task 1: A Morphological image processing pipeline for medical images
+# Task 1.1: Conversion to a single channel image
+import cv2
+
+# read in original image (in BGR format)
+image = cv2.imread("../../Task1.jpg")
+
+# convert to greyscale
+greyscale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+cv2.imwrite("./output/greyscale.jpg", greyscale)
+
+# convert to blue channel only
+b_channel = image.copy()
+b_channel[:, :, 1] = 0
+b_channel[:, :, 2] = 0
+cv2.imwrite("./output/b_channel.jpg", b_channel)
+
+# convert blue channel to greyscale
+b_channel_greyscale = cv2.cvtColor(b_channel, cv2.COLOR_BGR2GRAY)
+b_channel_greyscale_contrast = b_channel_greyscale.std()
+cv2.imwrite("./output/b_channel_greyscale.jpg", b_channel_greyscale)
+
+# convert to green channel only
+g_channel = image.copy()
+g_channel[:, :, 0] = 0
+g_channel[:, :, 2] = 0
+cv2.imwrite("./output/g_channel.jpg", g_channel)
+
+# convert green channel to greyscale
+g_channel_greyscale = cv2.cvtColor(g_channel, cv2.COLOR_BGR2GRAY)
+g_channel_greyscale_contrast = g_channel_greyscale.std()
+cv2.imwrite("./output/g_channel_greyscale.jpg", g_channel_greyscale)
+
+# convert to red channel only
+r_channel = image.copy()
+r_channel[:, :, 0] = 0
+r_channel[:, :, 1] = 0
+cv2.imwrite("./output/r_channel.jpg", r_channel)
+
+# convert red channel to greyscale
+r_channel_greyscale = cv2.cvtColor(r_channel, cv2.COLOR_BGR2GRAY)
+r_channel_greyscale_contrast = r_channel_greyscale.std()
+cv2.imwrite("./output/r_channel_greyscale.jpg", g_channel_greyscale)
+
+# assess objectively which allows most contrast
+print("Blue Channel Greyscale Contrast: "  + str(b_channel_greyscale_contrast))
+print("Green Channel Greyscale Contrast: " + str(g_channel_greyscale_contrast))
+print("Red Channel Greyscale Contrast: "   + str(r_channel_greyscale_contrast))