CAJ | 학술논문

针对红外人体图像目标与背景对比度低、边缘模糊、细节分辨能力差等特点,以及通常情况下的实时性处理要求,提出了一种新的有效分割方法.基于 Renyi熵原理,构造了一种广义模糊熵——模糊 Renyi熵;为了较快地获得分割阈值,基于混沌理论设计了一种混沌模拟退火算法,用于最佳分割阈值的搜索;把提出的模糊熵与混沌模拟退火算法相结合用于红外人体图像分割,并与几种著名的图像阈值分割方法进行了比较.实验结果表明,用该方法对红外人体图像进行分割,能得到较满意的分割结果,与其他方法相比,鲁棒性较好;对具有256级灰度的图像进行分割,其 CPU 耗时约为0.8 s,满足了红外人体图像分割的精确、实时性要求.
침대홍외인체도상목표여배경대비도저、변연모호、세절분변능력차등특점,이급통상정황하적실시성처리요구,제출료일충신적유효분할방법.기우 Renyi적원리,구조료일충엄의모호적——모호 Renyi적;위료교쾌지획득분할역치,기우혼돈이론설계료일충혼돈모의퇴화산법,용우최가분할역치적수색;파제출적모호적여혼돈모의퇴화산법상결합용우홍외인체도상분할,병여궤충저명적도상역치분할방법진행료비교.실험결과표명,용해방법대홍외인체도상진행분할,능득도교만의적분할결과,여기타방법상비,로봉성교호;대구유256급회도적도상진행분할,기 CPU 모시약위0.8 s,만족료홍외인체도상분할적정학、실시성요구.
@@@@Infrared human images always have low contrast, blurry boundaries and poor ability to distinguish details, and require-ment of real time processing. To overcome above problem, a novel and effective method is proposed to infrared human images segmentation. The generalized fuzzy entropy is constructed based on Renyi entropy principle, namely fuzzy Renyi entropy. For getting threshold in shorter time, an improved simulated annealing algorithm based on chaos search is designed to search opti-mal threshold. Then, the proposed fuzzy entropy is utilized in infrared human images segmentation combined with chaos simu-lated annealing algorithm, and the performance is compared with several famous image threshold segmentation method. Experi-mental results demonstrate the approving segmented results are obtained, the robustness is better than other method, and the CPU time is 0.8s to 256 level grayscale images when the presented method is used in infrared human images segmentation. It can satisfy the requirements of accuracy, real time of infrared images processing.