Low-Quality Video Images Recognize: A Self-Adapting Segmentation Algorithm
Zheng Hong Liu · Applied Mechanics and Materials · 2014
In this paper, a self-adapting segmentation algorithm for low-quality video Image based on camera information is present in detail. An adaptive threshold value method is used to extract the goal information. Combining features of the goal and video background, an adaptive segmentation algorithm based on hue histogram and saturation histogram is proposed, which can adapt the changing environmental conditions. The experiments have demonstrated the good performance of the self-adapting segmentation algorithm.