skimage2.feature

Warning

This module is part of the experimental skimage2 namespace and is subject to change without notice. Do not use it in production code. See the migration guide for more details.

Feature detection and extraction, e.g., texture analysis, corners, etc.

blob_dog	Finds blobs in the given grayscale image.
blob_doh	Finds blobs in the given grayscale image.
blob_log	Finds blobs in the given grayscale image.
canny	Edge filter an image using the Canny algorithm.
corner_fast	Extract FAST corners for a given image.
corner_foerstner	Compute Foerstner corner measure response image.
corner_harris	Compute Harris corner measure response image.
corner_kitchen_rosenfeld	Compute Kitchen and Rosenfeld corner measure response image.
corner_moravec	Compute Moravec corner measure response image.
corner_orientations	Compute the orientation of corners.
corner_peaks	Find peaks in corner measure response image.
corner_shi_tomasi	Compute Shi-Tomasi (Kanade-Tomasi) corner measure response image.
corner_subpix	Determine subpixel position of corners.
daisy	Extract DAISY feature descriptors densely for the given image.
draw_haar_like_feature	Visualization of Haar-like features.
draw_multiblock_lbp	Multi-block local binary pattern visualization.
fisher_vector	Compute the Fisher vector given some descriptors/vectors, and an associated estimated GMM.
graycomatrix	Calculate the gray-level co-occurrence matrix.
graycoprops	Calculate texture properties of a GLCM.
haar_like_feature	Compute the Haar-like features for a region of interest (ROI) of an integral image.
haar_like_feature_coord	Compute the coordinates of Haar-like features.
hessian_matrix	Compute the Hessian matrix.
hessian_matrix_det	Compute the approximate Hessian Determinant over an image.
hessian_matrix_eigvals	Compute eigenvalues of Hessian matrix.
hog	Extract Histogram of Oriented Gradients (HOG) for a given image.
learn_gmm	Estimate a Gaussian mixture model (GMM) given a set of descriptors and number of modes (i.e. Gaussians).
local_binary_pattern	Compute the local binary patterns (LBP) of an image.
match_descriptors	Brute-force matching of descriptors.
match_template	Match a template to a 2-D or 3-D image using normalized correlation.
multiblock_lbp	Multi-block local binary pattern (MB-LBP).
multiscale_basic_features	Local features for a single- or multi-channel nd image.
peak_local_max	Find peaks in an image as coordinate list.
plot_matched_features	Plot matched features between two images.
shape_index	Compute the shape index.
structure_tensor	Compute structure tensor using sum of squared differences.
structure_tensor_eigenvalues	Compute eigenvalues of structure tensor.
BRIEF	BRIEF binary descriptor extractor.
CENSURE	CENSURE keypoint detector.
Cascade	Class for cascade of classifiers that is used for object detection.
ORB	Oriented FAST and rotated BRIEF feature detector and binary descriptor extractor.
SIFT	SIFT feature detection and descriptor extraction.