Several methods have been designed and developed for target detection. In order to verify the target detection algorithms for the photoelectric images, and compare the advantages and disadvantages between different algorithms, the target tracking algorithms verification platform was designed and implemented. This system consist of video source processing module, algorithm pretreating module, target segmentation module, target detection and target tracking module. Design the interface between modules for more implantable. Based on this system, target detection algorithms can be easily developed on PC without hardware support.
On the foundation of studying former connecting area algorithms,the paper presents a pixel labeled algorithm based on recursive method of connecting area in binary images.The algorithm determines the distribution and count of connecting areas through once scanning of image.It mainly includes two steps in the algorithm.Firstly,scanning the input binary image is used to get the whole connecting labeled area and the equal marks list.The second step is to analyze the equal marks list by recursive method to ascertain the right distribution and count of connecting areas.Experiments show that it can exactly detect any connecting areas in binary images,which contains complicated shapes and random number(less than 1 000).
Providing an in-depth examination of core text mining and link detection algorithms and operations, this text examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches.