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Image processing - Coggle Diagram
Image processing
skimage
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def show_image(image, title = 'Image', cmap_type = 'gray': plt.imshow(image, cmap = cmap_type)
plt.title(title)
plt.axis('off')
plt.show()
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Constrast
exposure
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equalize_adapthist(image, clip_limit=0.03)
transform
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rescale(image, 1/4, anti_aliasing=True, multichannel=True)
resize(image, (height, width),
anti_aliasing=True)
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restoration
inpaint
inpaint.inpaint_biharmonic(defect_image, mask, multichannel = True)
denoising image
denoise_tv_chambolle(noise_image, weight = 0.1, multichannel = True)
denoise_bilateral(noise_image, multichannel = True)
segmentation
slic(image, n_segments = n)
color.label2rgb(segments, image, kind = 'avg')
Find contour
measure.find_contours(image, 0.8)
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Find corner
coords = corner_peaks(measure_image, min_distance = n)
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from skimage.feature import corner_harris, corner_peaks
Face detection
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detected = detector.detect_multi_scale(img =image, scale_factor = 1.2, step_ratio = 1. -> 1.5, min_size = (10,10), max_size = (200,200))
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Histogram
plt.hist(image.ravel(), bins = 256)
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