Watershed algorithm is an image segmentation algorithm, its function is to divide the pixels in the image into different regions, so that the pixels in the same region have similar characteristics.
In the field of image processing, watershed algorithm is often used to identify and segment the target object in the image to realize automatic segmentation and analysis of the image. Its principle is based on the gray gradient and regional boundary information in the image. By calculating the gradient of the image, the gradient value of each pixel in the image is obtained, and the image is segmented according to the gradient information.
In addition, watershed algorithm can also be used in document management software, such as text segmentation, information extraction, text clustering and text retrieval. Specifically, the watershed algorithm can divide the text into topics and categories according to certain rules, and can also extract key information from the text and classify it.
At the same time, by clustering documents according to similarity, users can better manage related documents. In text retrieval, watershed algorithm can also find relevant documents through keyword retrieval.
However, watershed algorithm also has some limitations and misunderstandings, such as too detailed segmentation results, limited text feature extraction, high algorithm complexity and sensitivity to noise. Therefore, watershed algorithm needs to be selected and applied according to the actual situation.
The concept and principle of watershed algorithm;
Watershed segmentation is a mathematical morphology segmentation method based on topology theory. The basic idea is to regard the image as geodesic topological landform, and the gray value of each pixel in the image represents the altitude of the point. Each local minimum and its influence area are called catchment basins, and the boundaries of catchment basins form watersheds.
The concept and formation of watershed can be illustrated by simulating the soaking process. Punch a small hole in each local minimum surface, and then slowly immerse the whole model in water. With the deepening of immersion, the influence area of each local minimum slowly expands outward, and a dam is built at the junction of two water collection tanks, which forms a watershed.