Module: feature
skimage.feature.blob_dog(image[, min_sigma, ...]) | Finds blobs in the given grayscale image. |
skimage.feature.blob_doh(image[, min_sigma, ...]) | Finds blobs in the given grayscale image. |
skimage.feature.blob_log(image[, min_sigma, ...]) | Finds blobs in the given grayscale image. |
skimage.feature.canny(image[, sigma, ...]) | Edge filter an image using the Canny algorithm. |
skimage.feature.corner_fast(image[, n, ...]) | Extract FAST corners for a given image. |
skimage.feature.corner_foerstner(image[, sigma]) | Compute Foerstner corner measure response image. |
skimage.feature.corner_harris(image[, ...]) | Compute Harris corner measure response image. |
skimage.feature.corner_kitchen_rosenfeld(image) | Compute Kitchen and Rosenfeld corner measure response image. |
skimage.feature.corner_moravec | Compute Moravec corner measure response image. |
skimage.feature.corner_orientations | Compute the orientation of corners. |
skimage.feature.corner_peaks(image[, ...]) | Find corners in corner measure response image. |
skimage.feature.corner_shi_tomasi(image[, sigma]) | Compute Shi-Tomasi (Kanade-Tomasi) corner measure response image. |
skimage.feature.corner_subpix(image, corners) | Determine subpixel position of corners. |
skimage.feature.daisy(img[, step, radius, ...]) | Extract DAISY feature descriptors densely for the given image. |
skimage.feature.draw_multiblock_lbp(img, r, ...) | Multi-block local binary pattern visualization. |
skimage.feature.greycomatrix(image, ...[, ...]) | Calculate the grey-level co-occurrence matrix. |
skimage.feature.greycoprops(P[, prop]) | Calculate texture properties of a GLCM. |
skimage.feature.hessian_matrix(image[, ...]) | Compute Hessian matrix. |
skimage.feature.hessian_matrix_det(image, sigma) | Computes the approximate Hessian Determinant over an image. |
skimage.feature.hessian_matrix_eigvals(Hxx, ...) | Compute Eigen values of Hessian matrix. |
skimage.feature.hog(image[, orientations, ...]) | Extract Histogram of Oriented Gradients (HOG) for a given image. |
skimage.feature.local_binary_pattern(image, P, R) | Gray scale and rotation invariant LBP (Local Binary Patterns). |
skimage.feature.match_descriptors(...[, ...]) | Brute-force matching of descriptors. |
skimage.feature.match_template(image, template) | Match a template to a 2-D or 3-D image using normalized correlation. |
skimage.feature.multiblock_lbp(int_image, r, ...) | Multi-block local binary pattern (MB-LBP). |
skimage.feature.peak_local_max(image[, ...]) | Find peaks in an image as coordinate list or boolean mask. |
skimage.feature.plot_matches(ax, image1, ...) | Plot matched features. |
skimage.feature.register_translation(...[, ...]) | Efficient subpixel image translation registration by cross-correlation. |
skimage.feature.structure_tensor(image[, ...]) | Compute structure tensor using sum of squared differences. |
skimage.feature.structure_tensor_eigvals(...) | Compute Eigen values of structure tensor. |
skimage.feature.BRIEF([descriptor_size, ...]) | BRIEF binary descriptor extractor. |
skimage.feature.CENSURE([min_scale, ...]) | CENSURE keypoint detector. |
skimage.feature.ORB([downscale, n_scales, ...]) | Oriented FAST and rotated BRIEF feature detector and binary descriptor extractor. |
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