module-skimage

skimage

Image Processing SciKit (Toolbox for SciPy)

scikit-image (a.k.a. skimage) is a collection of algorithms for image processing and computer vision.

The main package of skimage only provides a few utilities for converting between image data types; for most features, you need to import one of the following subpackages:

Links:

http://scikit-image.org/docs/0.12.x/api/skimage.html#module-skimage

doc_scikit_image

2017-01-12 17:22:06

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module-skimage.exposure Module: exposure skimage.exposure.adjust_gamma(image[, ...]) Performs Gamma Correction on the input image. skimage.exposure.adjust_log(image[, gain

module-skimage.measure Module: measure skimage.measure.approximate_polygon(coords, ...) Approximate a polygonal chain with the specified tolerance. skimage.measure.block_

module-skimage.util Module: util skimage.util.apply_parallel(function, array) Map a function in parallel across an array. skimage.util.crop(ar, crop_width[, copy, orde

module-skimage.draw Module: draw skimage.draw.bezier_curve Generate Bezier curve coordinates. skimage.draw.circle(r, c, radius[, shape]) Generate coordinates of pixels

module-skimage.graph Module: graph skimage.graph.route_through_array(array, ...) Simple example of how to use the MCP and MCP_Geometric classes. skimage.graph.shortest_