Computation times#
06:48.805 total execution time for 139 files from all galleries:
Example |
Time |
Mem (MB) |
---|---|---|
Use pixel graphs to find an object’s geodesic center ( |
00:56.902 |
0.0 |
Use rolling-ball algorithm for estimating background intensity ( |
00:49.694 |
0.0 |
Fisher vector feature encoding ( |
00:43.162 |
0.0 |
Rank filters ( |
00:30.829 |
0.0 |
Face classification using Haar-like feature descriptor ( |
00:29.485 |
0.0 |
Datasets with 3 or more spatial dimensions ( |
00:21.271 |
0.0 |
Measure perimeters with different estimators ( |
00:20.230 |
0.0 |
Restore spotted cornea image with inpainting ( |
00:11.218 |
0.0 |
3D adaptive histogram equalization ( |
00:11.106 |
0.0 |
Explore 3D images (of cells) ( |
00:08.258 |
0.0 |
Full tutorial on calibrating Denoisers Using J-Invariance ( |
00:07.431 |
0.0 |
Denoising a picture ( |
00:05.734 |
0.0 |
Using Polar and Log-Polar Transformations for Registration ( |
00:05.676 |
0.0 |
Interact with 3D images (of kidney tissue) ( |
00:05.547 |
0.0 |
Registration using optical flow ( |
00:04.267 |
0.0 |
Decompose flat footprints (structuring elements) ( |
00:04.242 |
0.0 |
Chan-Vese Segmentation ( |
00:04.178 |
0.0 |
Li thresholding ( |
00:04.168 |
0.0 |
Circular and Elliptical Hough Transforms ( |
00:04.118 |
0.0 |
Morphological Snakes ( |
00:04.018 |
0.0 |
Markers for watershed transform ( |
00:03.348 |
0.0 |
SIFT feature detector and descriptor extractor ( |
00:02.816 |
0.0 |
Trainable segmentation using local features and random forests ( |
00:02.705 |
0.0 |
Calibrating Denoisers Using J-Invariance ( |
00:02.488 |
0.0 |
Flood Fill ( |
00:02.272 |
0.0 |
Blob Detection ( |
00:02.099 |
0.0 |
Explore and visualize region properties with pandas ( |
00:01.814 |
0.0 |
Track solidification of a metallic alloy ( |
00:01.788 |
0.0 |
General-purpose images ( |
00:01.610 |
0.0 |
Scientific images ( |
00:01.600 |
0.0 |
Fundamental matrix estimation ( |
00:01.561 |
0.0 |
Find the intersection of two segmentations ( |
00:01.527 |
0.0 |
Normalized Cut ( |
00:01.477 |
0.0 |
Estimate strength of blur ( |
00:01.470 |
0.0 |
Gabor filter banks for texture classification ( |
00:01.366 |
0.0 |
Local Histogram Equalization ( |
00:01.366 |
0.0 |
Evaluating segmentation metrics ( |
00:01.347 |
0.0 |
RAG Thresholding ( |
00:01.267 |
0.0 |
Ridge operators ( |
00:01.261 |
0.0 |
Generate footprints (structuring elements) ( |
00:01.222 |
0.0 |
Skeletonize ( |
00:01.207 |
0.0 |
ORB feature detector and binary descriptor ( |
00:01.172 |
0.0 |
Thresholding ( |
00:01.159 |
0.0 |
Drawing Region Adjacency Graphs (RAGs) ( |
00:01.151 |
0.0 |
Non-local means denoising for preserving textures ( |
00:01.138 |
0.0 |
RAG Merging ( |
00:00.981 |
0.0 |
Butterworth Filters ( |
00:00.927 |
0.0 |
Comparison of segmentation and superpixel algorithms ( |
00:00.921 |
0.0 |
Apply maskSLIC vs SLIC ( |
00:00.907 |
0.0 |
Attribute operators ( |
00:00.883 |
0.0 |
Estimate anisotropy in a 3D microscopy image ( |
00:00.880 |
0.0 |
Dense DAISY feature description ( |
00:00.871 |
0.0 |
Separate colors in immunohistochemical staining ( |
00:00.840 |
0.0 |
Straight line Hough transform ( |
00:00.806 |
0.0 |
Specific images ( |
00:00.759 |
0.0 |
Radon transform ( |
00:00.758 |
0.0 |
Piecewise Affine Transformation ( |
00:00.738 |
0.0 |
Measure fluorescence intensity at the nuclear envelope ( |
00:00.736 |
0.0 |
Morphological Filtering ( |
00:00.734 |
0.0 |
Local Binary Pattern for texture classification ( |
00:00.728 |
0.0 |
Masked Normalized Cross-Correlation ( |
00:00.699 |
0.0 |
Visual image comparison ( |
00:00.693 |
0.0 |
CENSURE feature detector ( |
00:00.654 |
0.0 |
Hierarchical Merging of Region Boundary RAGs ( |
00:00.625 |
0.0 |
Image Deconvolution ( |
00:00.609 |
0.0 |
Gabors / Primary Visual Cortex “Simple Cells” from an Image ( |
00:00.593 |
0.0 |
Segment human cells (in mitosis) ( |
00:00.570 |
0.0 |
Tinting gray-scale images ( |
00:00.526 |
0.0 |
Measure region properties ( |
00:00.523 |
0.0 |
Band-pass filtering by Difference of Gaussians ( |
00:00.495 |
0.0 |
Assemble images with simple image stitching ( |
00:00.484 |
0.0 |
Entropy ( |
00:00.475 |
0.0 |
Region Boundary based RAGs ( |
00:00.473 |
0.0 |
Adapting gray-scale filters to RGB images ( |
00:00.473 |
0.0 |
Max-tree ( |
00:00.467 |
0.0 |
RGB to HSV ( |
00:00.465 |
0.0 |
Active Contour Model ( |
00:00.464 |
0.0 |
Shift-invariant wavelet denoising ( |
00:00.449 |
0.0 |
Sliding window histogram ( |
00:00.437 |
0.0 |
Edge operators ( |
00:00.430 |
0.0 |
Phase Unwrapping ( |
00:00.424 |
0.0 |
Types of homographies ( |
00:00.422 |
0.0 |
Thresholding ( |
00:00.421 |
0.0 |
Histogram matching ( |
00:00.413 |
0.0 |
Comparing edge-based and region-based segmentation ( |
00:00.412 |
0.0 |
Face detection using a cascade classifier ( |
00:00.403 |
0.0 |
Unsharp masking ( |
00:00.379 |
0.0 |
Image Deconvolution ( |
00:00.378 |
0.0 |
Marching Cubes ( |
00:00.376 |
0.0 |
Mean filters ( |
00:00.375 |
0.0 |
Block views on images/arrays ( |
00:00.350 |
0.0 |
Histogram Equalization ( |
00:00.326 |
0.0 |
Colocalization metrics ( |
00:00.324 |
0.0 |
Removing small objects in grayscale images with a top hat filter ( |
00:00.281 |
0.0 |
Filtering regional maxima ( |
00:00.275 |
0.0 |
GLCM Texture Features ( |
00:00.273 |
0.0 |
Shape Index ( |
00:00.268 |
0.0 |
Structural similarity index ( |
00:00.267 |
0.0 |
Gamma and log contrast adjustment ( |
00:00.260 |
0.0 |
Euler number ( |
00:00.259 |
0.0 |
Fill in defects with inpainting ( |
00:00.254 |
0.0 |
Wavelet denoising ( |
00:00.239 |
0.0 |
Image Registration ( |
00:00.234 |
0.0 |
Using window functions with images ( |
00:00.231 |
0.0 |
Rescale, resize, and downscale ( |
00:00.205 |
0.0 |
BRIEF binary descriptor ( |
00:00.200 |
0.0 |
Histogram of Oriented Gradients ( |
00:00.196 |
0.0 |
RGB to grayscale ( |
00:00.188 |
0.0 |
Expand segmentation labels without overlap ( |
00:00.182 |
0.0 |
Find Regular Segments Using Compact Watershed ( |
00:00.176 |
0.0 |
Render text onto an image ( |
00:00.172 |
0.0 |
Filling holes and finding peaks ( |
00:00.170 |
0.0 |
Multi-Otsu Thresholding ( |
00:00.167 |
0.0 |
Label image regions ( |
00:00.162 |
0.0 |
Build image pyramids ( |
00:00.148 |
0.0 |
Convex Hull ( |
00:00.143 |
0.0 |
Hysteresis thresholding ( |
00:00.138 |
0.0 |
Using geometric transformations ( |
00:00.137 |
0.0 |
Robust matching using RANSAC ( |
00:00.133 |
0.0 |
Random walker segmentation ( |
00:00.120 |
0.0 |
Interpolation: Edge Modes ( |
00:00.119 |
0.0 |
Robust line model estimation using RANSAC ( |
00:00.112 |
0.0 |
Region Adjacency Graphs ( |
00:00.111 |
0.0 |
Approximate and subdivide polygons ( |
00:00.111 |
0.0 |
Random Shapes ( |
00:00.101 |
0.0 |
Canny edge detector ( |
00:00.097 |
0.0 |
Finding local maxima ( |
00:00.095 |
0.0 |
Extrema ( |
00:00.095 |
0.0 |
Multi-Block Local Binary Pattern for texture classification ( |
00:00.092 |
0.0 |
Niblack and Sauvola Thresholding ( |
00:00.085 |
0.0 |
Shapes ( |
00:00.077 |
0.0 |
Template Matching ( |
00:00.069 |
0.0 |
Watershed segmentation ( |
00:00.068 |
0.0 |
Corner detection ( |
00:00.051 |
0.0 |
Haar-like feature descriptor ( |
00:00.051 |
0.0 |
Hausdorff Distance ( |
00:00.043 |
0.0 |
Swirl ( |
00:00.038 |
0.0 |
Contour finding ( |
00:00.037 |
0.0 |
Using simple NumPy operations for manipulating images ( |
00:00.034 |
0.0 |