测量是基于图像中物体的特征。图像处理算法通常使用图像中包含的信息进行分类，如边缘、表面或形状。不同类型的机器视觉算法影响和提取一个或多个信息。
边缘检测及其衍生技术，如同心的耙，耙，和辐条（耙、同心耙、和辐条）在球队中显示的图像。它们可以精确地定位物体边缘的位置。边缘检测可以用来测量一个分量的宽度，称为卡尺。还可以集成多个边来计算交点、投影、合适的果园或椭圆。(The measurement is based on the features of the object in the image. Image processing algorithms usually use the information contained in the image to classify, such as edges, surfaces, or shapes. Different types of machine vision algorithms affect and extract one or more information.
Edge detection and its derivative technology, such as concentric rake, rake, and spokes (rakes, concentric rakes, and spokes) for the image shown in the side. They can accurately locate the position of the edge of the object. The edge detection can be used to measure the width of a component, which is called a caliper. It is also possible to integrate multiple edges to calculate the intersection, projection, suitable orchards or ellipses.)