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），您可以使用图像区域分析器或 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

Browse and filter connected components in an image

`regionprops`	测量图像区域的属性
`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`	找出二值图像中对象的边界

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

`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`	图像数据的直方图
`mean2`	矩阵元素的平均值或均值
`std2`	矩阵元素的标准差
`corr2`	二维相关系数

`bwconncomp`	查找二值图像中的连通分量并对其计数
`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`	对二值图像中的连通分量加标签
`labelmatrix`	Create label matrix from `bwconncomp` structure
`label2rgb`	Convert label matrix into RGB image
`poly2label`	Create label matrix from set of ROIs
`poly2mask`	将感兴趣的区域 (ROI) 多边形转换为区域掩膜

标注和度量二值图像中的连通分量
二值图像中的一个对象是一组具有相同值的连通像素。您可以对对象进行计数、标注和隔离，还可以测量面积等对象属性。
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.

像素值
要确定图像中一个或多个像素的值，您可以通过交互方式选择图像上的点，或指定数组中的像素坐标。
Get Pixel Information in Image Viewer App
Display information about the location and value of individual pixels or small neighborhoods of pixels.
Measure Distance Between Pixels in Image Viewer App
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.

图像均值、标准差和相关系数
您可以计算二维图像中所有像素的标准统计量。工具箱中的这些统计量不同于其对应的一维统计量，后者分别对图像的每一列进行计算。
Create Image Histogram
Create a histogram that shows the distribution of intensities in a grayscale image.
二值图像的距离变换
二值图像的距离变换显示从每个像素到非零像素的距离。可以使用不同的方法来度量两个像素之间的距离。
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.