计算机应用与软件2017，Vol.34Issue(8)：191-196,6.DOI:10.3969/j.issn.1000-386x.2017.08.034
基于形态学的非均匀光照图像二值化并行方法
BINARIZATION PARALLEL METHOD FOR NON-UNIFORM ILLUMINATION IMAGE BASED ON MORPHOLOGY
摘要
Abstract
In traditional industrial occasions, especially in the perspective of large area, the captured images often appear non-uniform illumination problems frequently.This brings a lot of difficulty for the division of image binarization and subsequent processing.Non-uniform illumination image processing usually uses the local threshold segmentation method.However, the classical local threshold segmentation method usually has the disadvantages of large noise, long processing time and so on.In order to improve these disadvantages, this paper put forward a method that use the theory of mathematical morphology and the improved Sauvola algorithm for non-uniform illumination image binarization research and parallel optimization.We have experimentally validated the card images collected under industrial conditions.The results show that the method not only can restrain the noise effectively and get good recognition effect, but also shorten the image processing time greatly.关键词
Sauvola算法/非均匀光照/二值化/形态学/并行优化Key words
Sauvola algorithm/Non-uniform illumination/Binarization/Morphology/Parallel optimization分类
信息技术与安全科学引用本文复制引用
从飞,张秋菊..基于形态学的非均匀光照图像二值化并行方法[J].计算机应用与软件,2017,34(8):191-196,6.基金项目
国家自然科学基金项目(51575236). （51575236）
