Advanced and unique "multi-channel segmentation technology"

The so-called "segmentation" is a special term in image processing. Its function is to segment the detected objects, such as colonies and cells, from a complex image, so as to achieve the purpose of statistics or analysis. Segmentation technology is directly related to the accuracy of object recognition and statistics, so it is very important and is also the focus of extensive research in image processing. Traditionally, many methods have been studied, such as threshold segmentation, edge detection, area growth, Markov random field model, and so on. However, these methods are mostly limited to one-dimensional space for simple object recognition, such as the detection of dust particles. Biomedical images are often more complex, such as cells or colonies, whose colors are variable, the edges are not clear, and the internal structure is also very complex. It is often difficult to achieve the desired results using traditional segmentation techniques.