General examples

General-purpose and introductory examples for scikit-image.

The narrative documentation introduces conventions and basic image manipulations.

Data

Datasets with 3 or more spatial dimensions

Datasets with 3 or more spatial dimensions

Datasets with 3 or more spatial dimensions
Scientific images

Scientific images

Scientific images
General-purpose images

General-purpose images

General-purpose images
Specific images

Specific images

Specific images

Operations on NumPy arrays

Using simple NumPy operations for manipulating images

Using simple NumPy operations for manipulating images

Using simple NumPy operations for manipulating images
Generate footprints (structuring elements)

Generate footprints (structuring elements)

Generate footprints (structuring elements)
Block views on images/arrays

Block views on images/arrays

Block views on images/arrays
Decompose flat footprints (structuring elements)

Decompose flat footprints (structuring elements)

Decompose flat footprints (structuring elements)

Manipulating exposure and color channels

RGB to grayscale

RGB to grayscale

RGB to grayscale
RGB to HSV

RGB to HSV

RGB to HSV
Histogram matching

Histogram matching

Histogram matching
Adapting gray-scale filters to RGB images

Adapting gray-scale filters to RGB images

Adapting gray-scale filters to RGB images
Separate colors in immunohistochemical staining

Separate colors in immunohistochemical staining

Separate colors in immunohistochemical staining
Filtering regional maxima

Filtering regional maxima

Filtering regional maxima
Gamma and log contrast adjustment

Gamma and log contrast adjustment

Gamma and log contrast adjustment
Histogram Equalization

Histogram Equalization

Histogram Equalization
Tinting gray-scale images

Tinting gray-scale images

Tinting gray-scale images
Local Histogram Equalization

Local Histogram Equalization

Local Histogram Equalization
3D adaptive histogram equalization

3D adaptive histogram equalization

3D adaptive histogram equalization

Edges and lines

Contour finding

Contour finding

Contour finding
Convex Hull

Convex Hull

Convex Hull
Canny edge detector

Canny edge detector

Canny edge detector
Marching Cubes

Marching Cubes

Marching Cubes
Ridge operators

Ridge operators

Ridge operators
Active Contour Model

Active Contour Model

Active Contour Model
Shapes

Shapes

Shapes
Random Shapes

Random Shapes

Random Shapes
Approximate and subdivide polygons

Approximate and subdivide polygons

Approximate and subdivide polygons
Straight line Hough transform

Straight line Hough transform

Straight line Hough transform
Circular and Elliptical Hough Transforms

Circular and Elliptical Hough Transforms

Circular and Elliptical Hough Transforms
Skeletonize

Skeletonize

Skeletonize
Edge operators

Edge operators

Edge operators

Geometrical transformations and registration

Swirl

Swirl

Swirl
Interpolation: Edge Modes

Interpolation: Edge Modes

Interpolation: Edge Modes
Rescale, resize, and downscale

Rescale, resize, and downscale

Rescale, resize, and downscale
Build image pyramids

Build image pyramids

Build image pyramids
Piecewise Affine Transformation

Piecewise Affine Transformation

Piecewise Affine Transformation
Using geometric transformations

Using geometric transformations

Using geometric transformations
Structural similarity index

Structural similarity index

Structural similarity index
Types of homographies

Types of homographies

Types of homographies
Fundamental matrix estimation

Fundamental matrix estimation

Fundamental matrix estimation
Robust line model estimation using RANSAC

Robust line model estimation using RANSAC

Robust line model estimation using RANSAC
Radon transform

Radon transform

Radon transform
Robust matching using RANSAC

Robust matching using RANSAC

Robust matching using RANSAC

Image registration

Image Registration

Image Registration

Image Registration
Masked Normalized Cross-Correlation

Masked Normalized Cross-Correlation

Masked Normalized Cross-Correlation
Registration using optical flow

Registration using optical flow

Registration using optical flow
Assemble images with simple image stitching

Assemble images with simple image stitching

Assemble images with simple image stitching
Using Polar and Log-Polar Transformations for Registration

Using Polar and Log-Polar Transformations for Registration

Using Polar and Log-Polar Transformations for Registration

Filtering and restoration

Removing small objects in grayscale images with a top hat filter

Removing small objects in grayscale images with a top hat filter

Removing small objects in grayscale images with a top hat filter
Hysteresis thresholding

Hysteresis thresholding

Hysteresis thresholding
Image Deconvolution

Image Deconvolution

Image Deconvolution
Using window functions with images

Using window functions with images

Using window functions with images
Unsharp masking

Unsharp masking

Unsharp masking
Mean filters

Mean filters

Mean filters
Image Deconvolution

Image Deconvolution

Image Deconvolution
Estimate strength of blur

Estimate strength of blur

Estimate strength of blur
Entropy

Entropy

Entropy
Calibrating Denoisers Using J-Invariance

Calibrating Denoisers Using J-Invariance

Calibrating Denoisers Using J-Invariance
Inpainting

Inpainting

Inpainting
Band-pass filtering by Difference of Gaussians

Band-pass filtering by Difference of Gaussians

Band-pass filtering by Difference of Gaussians
Denoising a picture

Denoising a picture

Denoising a picture
Shift-invariant wavelet denoising

Shift-invariant wavelet denoising

Shift-invariant wavelet denoising
Phase Unwrapping

Phase Unwrapping

Phase Unwrapping
Non-local means denoising for preserving textures

Non-local means denoising for preserving textures

Non-local means denoising for preserving textures
Attribute operators

Attribute operators

Attribute operators
Wavelet denoising

Wavelet denoising

Wavelet denoising
Butterworth Filters

Butterworth Filters

Butterworth Filters
Full tutorial on calibrating Denoisers Using J-Invariance

Full tutorial on calibrating Denoisers Using J-Invariance

Full tutorial on calibrating Denoisers Using J-Invariance

Detection of features and objects

Dense DAISY feature description

Dense DAISY feature description

Dense DAISY feature description
Histogram of Oriented Gradients

Histogram of Oriented Gradients

Histogram of Oriented Gradients
Template Matching

Template Matching

Template Matching
Filling holes and finding peaks

Filling holes and finding peaks

Filling holes and finding peaks
CENSURE feature detector

CENSURE feature detector

CENSURE feature detector
Corner detection

Corner detection

Corner detection
Multi-Block Local Binary Pattern for texture classification

Multi-Block Local Binary Pattern for texture classification

Multi-Block Local Binary Pattern for texture classification
Haar-like feature descriptor

Haar-like feature descriptor

Haar-like feature descriptor
Blob Detection

Blob Detection

Blob Detection
ORB feature detector and binary descriptor

ORB feature detector and binary descriptor

ORB feature detector and binary descriptor
Gabors / Primary Visual Cortex "Simple Cells" from an Image

Gabors / Primary Visual Cortex “Simple Cells” from an Image

Gabors / Primary Visual Cortex "Simple Cells" from an Image
BRIEF binary descriptor

BRIEF binary descriptor

BRIEF binary descriptor
SIFT feature detector and descriptor extractor

SIFT feature detector and descriptor extractor

SIFT feature detector and descriptor extractor
GLCM Texture Features

GLCM Texture Features

GLCM Texture Features
Shape Index

Shape Index

Shape Index
Sliding window histogram

Sliding window histogram

Sliding window histogram
Gabor filter banks for texture classification

Gabor filter banks for texture classification

Gabor filter banks for texture classification
Local Binary Pattern for texture classification

Local Binary Pattern for texture classification

Local Binary Pattern for texture classification

Segmentation of objects

Region Boundary based RAGs

Region Boundary based RAGs

Region Boundary based RAGs
RAG Thresholding

RAG Thresholding

RAG Thresholding
Normalized Cut

Normalized Cut

Normalized Cut
Find Regular Segments Using Compact Watershed

Find Regular Segments Using Compact Watershed

Find Regular Segments Using Compact Watershed
Thresholding

Thresholding

Thresholding
Drawing Region Adjacency Graphs (RAGs)

Drawing Region Adjacency Graphs (RAGs)

Drawing Region Adjacency Graphs (RAGs)
Chan-Vese Segmentation

Chan-Vese Segmentation

Chan-Vese Segmentation
Finding local maxima

Finding local maxima

Finding local maxima
Niblack and Sauvola Thresholding

Niblack and Sauvola Thresholding

Niblack and Sauvola Thresholding
Multi-Otsu Thresholding

Multi-Otsu Thresholding

Multi-Otsu Thresholding
Apply maskSLIC vs SLIC

Apply maskSLIC vs SLIC

Apply maskSLIC vs SLIC
Random walker segmentation

Random walker segmentation

Random walker segmentation
Expand segmentation labels without overlap

Expand segmentation labels without overlap

Expand segmentation labels without overlap
Watershed segmentation

Watershed segmentation

Watershed segmentation
Label image regions

Label image regions

Label image regions
Markers for watershed transform

Markers for watershed transform

Markers for watershed transform
Comparison of segmentation and superpixel algorithms

Comparison of segmentation and superpixel algorithms

Comparison of segmentation and superpixel algorithms
Find the intersection of two segmentations

Find the intersection of two segmentations

Find the intersection of two segmentations
Region Adjacency Graphs

Region Adjacency Graphs

Region Adjacency Graphs
Measure perimeters with different estimators

Measure perimeters with different estimators

Measure perimeters with different estimators
RAG Merging

RAG Merging

RAG Merging
Hierarchical Merging of Region Boundary RAGs

Hierarchical Merging of Region Boundary RAGs

Hierarchical Merging of Region Boundary RAGs
Extrema

Extrema

Extrema
Explore and visualize region properties with pandas

Explore and visualize region properties with pandas

Explore and visualize region properties with pandas
Hausdorff Distance

Hausdorff Distance

Hausdorff Distance
Measure region properties

Measure region properties

Measure region properties
Trainable segmentation using local features and random forests

Trainable segmentation using local features and random forests

Trainable segmentation using local features and random forests
Morphological Snakes

Morphological Snakes

Morphological Snakes
Flood Fill

Flood Fill

Flood Fill
Euler number

Euler number

Euler number
Evaluating segmentation metrics

Evaluating segmentation metrics

Evaluating segmentation metrics
Use rolling-ball algorithm for estimating background intensity

Use rolling-ball algorithm for estimating background intensity

Use rolling-ball algorithm for estimating background intensity

Longer examples and demonstrations

Render text onto an image

Render text onto an image

Render text onto an image
Face detection using a cascade classifier

Face detection using a cascade classifier

Face detection using a cascade classifier
Interact with 3D images (of kidney tissue)

Interact with 3D images (of kidney tissue)

Interact with 3D images (of kidney tissue)
Use pixel graphs to find an object's geodesic center

Use pixel graphs to find an object’s geodesic center

Use pixel graphs to find an object's geodesic center
Visual image comparison

Visual image comparison

Visual image comparison
Morphological Filtering

Morphological Filtering

Morphological Filtering
Estimate anisotropy in a 3D microscopy image

Estimate anisotropy in a 3D microscopy image

Estimate anisotropy in a 3D microscopy image
Comparing edge-based and region-based segmentation

Comparing edge-based and region-based segmentation

Comparing edge-based and region-based segmentation
Colocalization metrics

Colocalization metrics

Colocalization metrics
Segment human cells (in mitosis)

Segment human cells (in mitosis)

Segment human cells (in mitosis)
Thresholding

Thresholding

Thresholding
Track solidification of a metallic alloy

Track solidification of a metallic alloy

Track solidification of a metallic alloy
Measure fluorescence intensity at the nuclear envelope

Measure fluorescence intensity at the nuclear envelope

Measure fluorescence intensity at the nuclear envelope
Face classification using Haar-like feature descriptor

Face classification using Haar-like feature descriptor

Face classification using Haar-like feature descriptor
Explore 3D images (of cells)

Explore 3D images (of cells)

Explore 3D images (of cells)
Rank filters

Rank filters

Rank filters

Examples for developers

In this folder, we have examples for advanced topics, including detailed explanations of the inner workings of certain algorithms.

These examples require some basic knowledge of image processing. They are targeted at existing or would-be scikit-image developers wishing to develop their knowledge of image processing algorithms.

Li thresholding

Li thresholding

Li thresholding
Max-tree

Max-tree

Max-tree

Gallery generated by Sphinx-Gallery