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Changed from GrayScale convertion to Image Invertion #4

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Changed from GrayScale convertion to Image Invertion #4

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14 changes: 7 additions & 7 deletions CarPlateDetection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,16 +11,16 @@
# Display the original image
cv2.imshow("Original Image", image)

# RGB to Gray scale conversion
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow("1 - Grayscale Conversion", gray)
# Inverting the Image
inv = cv2.bitwise_not(image)
cv2.imshow("1 - Inverting the image", inv)

# Noise removal with iterative bilateral filter(removes noise while preserving edges)
gray = cv2.bilateralFilter(gray, 11, 17, 17)
cv2.imshow("2 - Bilateral Filter", gray)
gray = cv2.bilateralFilter(inv, 20, 30, 30)
cv2.imshow("2 - Bilateral Filter", inv)

# Find Edges of the grayscale image
edged = cv2.Canny(gray, 170, 200)
edged = cv2.Canny(inv, 170, 200)
cv2.imshow("4 - Canny Edges", edged)

# Find contours based on Edges
Expand All @@ -42,4 +42,4 @@
cv2.drawContours(image, [NumberPlateCnt], -1, (0,255,0), 3)
cv2.imshow("Final Image With Number Plate Detected", image)

cv2.waitKey(0) #Wait for user input before closing the images displayed
cv2.waitKey(0) #Wait for user input before closing the images displayed