Proceedings Article | 30 December 2008
KEYWORDS: Detection and tracking algorithms, Image segmentation, Binary data, Automatic target recognition, Image processing algorithms and systems, Medical imaging, Image processing, Convolution, Digital signal processing, Target recognition
Real-time multi-objects labeling, which includes segmenting target, picking up features and labeling object
automatically, is a study field of Automatic Target Recognition (ATR). Labeling object in an image is a very important
step in many application areas such as target scouting and tracking, circuit board and IC mask inspection, environmental
and medical image analysis. In this paper, the approaches on object description are classified. Based on the comparison
of different methods in many aspects, some representative methods on object labeling, including their basic principles,
characteristics, and drawbacks are researched. At the same time, one optimized technique, fast object description on
multi-objects labeling, is presented. This fast object labeling algorithm is based on the pixel labeling method. Using the
neighboring relationship of binary pixel points in the contiguous scanning lines, this fast approach can complete the
pick-up of object labels and the combination of equal target labels during scanning once. Finally, in this approach, the
labeling of objects and pick-up of features are accomplished. Experimental results show that the improved algorithm can
be used to segment object and label multi-targets, and the performance of the algorithm is fast-speed, practical and
simple as well as with the high ability of processing complex patterns.
