19 lines
570 B
Plaintext
19 lines
570 B
Plaintext
Mahotas is a library of fast computer vision algorithms (all implemented in C++)
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operates over numpy arrays for convenience.
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Notable algorithms:
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watershed.
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convex points calculations.
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hit & miss. thinning.
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Zernike & Haralick, LBP, and TAS features.
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freeimage based numpy image loading (requires freeimage libraries
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to be installed).
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Speeded-Up Robust Features (SURF), a form of local features.
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thresholding.
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convolution.
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Sobel edge detection.
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spline interpolation
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Mahotas currently has over 100 functions for image processing and
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computer vision and it keeps growing.
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