April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Canny/hysteresis thresholding
Perform the following steps to implement edge detection with Canny using SimpleItk library functions:
- Read the input grayscale image and convert it to the float64 datatype:
image = sitk.ReadImage('images/cameraman.png') # 8-bit cameraman grayscale imageimage = sitk.Cast(image, sitk.sitkFloat64)
- Compute the Canny filter for two values of σ of the Gaussian blur (1 and 3) with the same hysteresis thresholds:
edges1 = sitk.CannyEdgeDetection(image, lowerThreshold=5, \ upperThreshold=10, variance=[1, 1])edges2 = sitk.CannyEdgeDetection(image, lowerThreshold=5, \ upperThreshold=10, variance=[3, 3])
- Convert the output to the NumPy array for display:
image = sitk.GetArrayFromImage(image)edges1 = sitk.GetArrayFromImage(edges1) ...
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