On High-Seed Labeling Algorithms for Realtime High-Quality Image Recogniton Systems

对二值图像中的每个连通区域进行唯一标记是模式识别和机器人视觉中最基本和最重要的操作之一。研究了连通域标记处理的加速问题。我们提出了最快的标记算法，并在IEEE Transactions On Image Processing等图像处理领域的顶级期刊上发表了9篇论文，在International Conference on Pattern Recognition等国际会议上发表了4篇论文，并出版了一本书。

Labeling of each connected component with a unique label in a binary image is one ofthe most fundamental and important operations in pattern recognition and computer (robot) vision. This research studied speed-up of connected-component labeling processing. We proposed the fastest labeling algorithm, and presented 9 papers on IEEE Transactions On Image Processing, the top journal of image processing field, etc, and 4 papers at international conferences such as International Conference on Pattern Recognition, and a book.