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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。
Image Region Analyzer | Browse and filter connected components in an 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.
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.
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.
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.
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.