Function Prototypes and Arguments Explained
OpenCV provides the () method, which converts the input raw image to an edge image.
The method is prototyped as:
(image, threshold1, threshold2[, edges[, apertureSize[, L2gradient]]]) -> edges (dx, dy, threshold1, threshold2[, edges[, L2gradient]]) -> edges
- The image parameter is the input image in array format.
- threshold1 and threshold2 are our lower and upper thresholds, respectively.
- apertureSize is the size of the Sobel kernel used to find the gradient of the image, default is 3.
- L2gradient specifies the formula for finding the gradient magnitude and is a boolean variable that defaults to False. when it is True, L2 is used, otherwise L1 is used.
Here is the exact code:
def canny_detect(image_path, show=True):
# Read the image
image = (image_path, 0)
# Get results
edges = (image, 100, 200)
if show:
# Drawing the original
(121)
(image, cmap='gray')
('Original Image')
([])
([])
# Mapping the edges
(122)
(edges, cmap='gray')
('Edge Image')
([])
([])
()
return edges
canny_detect('images/')effect
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