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图像区域,也称为目标连通分量斑点,具有诸如面积、质心、方向和边界框等属性。要计算这些属性(以及更多属性),您可以使用 Image Region Analyzer App 或 regionprops 函数。



Image Region AnalyzerBrowse and filter connected components in an image



regionpropsMeasure properties of image regions
regionprops3Measure properties of 3-D volumetric image regions
bwconvhullGenerate convex hull image from binary image
bweulerEuler number of binary image
bwferetMeasure Feret properties
bwperimFind perimeter of objects in binary image
impixelPixel color values
improfilePixel-value cross-sections along line segments
imcontourCreate contour plot of image data
bwdistgeodesicGeodesic distance transform of binary image
graydistGray-weighted distance transform of grayscale image
imhistHistogram of image data
mean2Average or mean of matrix elements
bwpropfiltExtract objects from binary image using properties
bwselectSelect objects in binary image
bwselect3Select objects in binary volume
bwlabelnLabel connected components in binary image
labelmatrixCreate label matrix from bwconncomp structure
label2rgbConvert label matrix into RGB image



Label and Measure Connected Components in a Binary Image

An object in a binary image is a set of connected pixels with the same value. You can count, label, and isolate objects, and you can measure object properties such as area.

Calculate Properties of Image Regions Using Image Region Analyzer

This example shows how to calculate the properties of regions in binary images by using the Image Region Analyzer app.


Pixel Values

To determine the values of one or more pixels in an image, you can select points on an image interactively, or you can specify the pixel coordinates in an array.

Get Pixel Information in Image Viewer App

You can display information about the location and value of individual pixels or small neighborhoods of pixels.

Measure Distance Between Pixels in Image Viewer App

You can measure the length of a line segment drawn between two pixels. You can refine the position of the line segment and make multiple measurements.

Intensity Profile of Images

The intensity profile of an image is the set of intensity values taken from regularly spaced points along a line or path in the image.


Image Mean, Standard Deviation, and Correlation Coefficient

You can compute standard statistics of all pixels in a 2-D image. The statistics in the toolbox differ from their 1-D counterparts, which operate on each column of an image separately.

Create Image Histogram

This example shows how to create a histogram that shows the distribution of intensities in a grayscale image.

Distance Transform of a Binary Image

The distance transform of a binary image shows the distance from each pixel to a nonzero pixel. There are different ways to measure the distance between two pixels.

Contour Plot of Image Data

A contour is a path in an image along which intensity values are constant. Contour plots can show the outline of objects in an image or represent a 3-D shape in a 2-D plane.