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区域和图像属性

获取图像中目标的有关信息

图像区域，也称为目标、连通分量或斑点，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。

您还可以沿图像中的路径测量单个像素的像素值，或在整个图像上进行聚合。

App

Image Region Analyzer

Browse and filter connected components in an image

函数

全部展开

测量图像区域的属性

`regionprops`	Measure properties of image regions
`regionprops3`	Measure properties of 3-D volumetric image regions
`bwarea`	二值图像中对象的面积
`bwconvhull`	Generate convex hull image from binary image
`bweuler`	Euler number of binary image
`bwferet`	Measure Feret properties
`bwperim`	Find perimeter of objects in binary image

测量像素和路径的属性

`impixel`	Pixel color values
`improfile`	Pixel-value cross-sections along line segments
`imcontour`	Create contour plot of image data

测量图像的属性

`bwdist`	二值图像的距离变换
`bwdistgeodesic`	Geodesic distance transform of binary image
`graydist`	Gray-weighted distance transform of grayscale image
`imhist`	Histogram of image data
`mean2`	Average or mean of matrix elements
`std2`	矩阵元素的标准差
`corr2`	二维相关系数

在二值图像中查找、选择和标记目标

`bwconncomp`	查找二值图像中的连通分量
`bwareaopen`	从二值图像中删除小对象
`bwareafilt`	按大小从二值图像中提取对象
`bwpropfilt`	Extract objects from binary image using properties
`bwselect`	Select objects in binary image
`bwselect3`	Select objects in binary volume
`bwlabel`	对二维二值图像中的连通分量进行标注
`bwlabeln`	Label connected components in binary image
`labelmatrix`	Create label matrix from `bwconncomp` structure
`label2rgb`	Convert label matrix into RGB image

主题

区域和目标属性

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.

像素和路径属性

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.

图像属性

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.