Module: measure
skimage.measure.approximate_polygon(coords, ...) | Approximate a polygonal chain with the specified tolerance. |
skimage.measure.block_reduce(image, block_size) | Down-sample image by applying function to local blocks. |
skimage.measure.compare_mse(im1, im2) | Compute the mean-squared error between two images. |
skimage.measure.compare_nrmse(im_true, im_test) | Compute the normalized root mean-squared error (NRMSE) between two images. |
skimage.measure.compare_psnr(im_true, im_test) | Compute the peak signal to noise ratio (PSNR) for an image. |
skimage.measure.compare_ssim(X, Y[, ...]) | Compute the mean structural similarity index between two images. |
skimage.measure.correct_mesh_orientation(...) | Correct orientations of mesh faces. |
skimage.measure.find_contours(array, level) | Find iso-valued contours in a 2D array for a given level value. |
skimage.measure.grid_points_in_poly | Test whether points on a specified grid are inside a polygon. |
skimage.measure.label(input[, neighbors, ...]) | Label connected regions of an integer array. |
skimage.measure.marching_cubes(volume, level) | Marching cubes algorithm to find iso-valued surfaces in 3d volumetric data |
skimage.measure.mesh_surface_area(verts, faces) | Compute surface area, given vertices & triangular faces |
skimage.measure.moments(image[, order]) | Calculate all raw image moments up to a certain order. |
skimage.measure.moments_central(image, cr, cc) | Calculate all central image moments up to a certain order. |
skimage.measure.moments_hu(nu) | Calculate Hu’s set of image moments. |
skimage.measure.moments_normalized(mu[, order]) | Calculate all normalized central image moments up to a certain order. |
skimage.measure.perimeter(image[, neighbourhood]) | Calculate total perimeter of all objects in binary image. |
skimage.measure.points_in_poly | Test whether points lie inside a polygon. |
skimage.measure.profile_line(img, src, dst) | Return the intensity profile of an image measured along a scan line. |
skimage.measure.ransac(data, model_class, ...) | Fit a model to data with the RANSAC (random sample consensus) algorithm. |
skimage.measure.regionprops(label_image[, ...]) | Measure properties of labeled image regions. |
skimage.measure.structural_similarity(*args, ...) |
Deprecated function. Use compare_ssim instead. |
skimage.measure.subdivide_polygon(coords[, ...]) | Subdivision of polygonal curves using B-Splines. |
skimage.measure.CircleModel() | Total least squares estimator for 2D circles. |
skimage.measure.EllipseModel() | Total least squares estimator for 2D ellipses. |
skimage.measure.LineModel() | Total least squares estimator for 2D lines. |
skimage.measure.LineModelND() | Total least squares estimator for N-dimensional lines. |
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