CAJ | 학술논문

蚁群算法应用于大多数图像边缘检测均具有抗噪声能力强、提取边缘精细等优点,但在处理含噪声的低对比度图像边缘时会出现边缘部分缺失、边缘不平滑等现象.为了对低对比度图像的边缘检测达到理想效果,文中通过对蚁群算法中信息素矩阵和阈值选取方法进行分析,将传统蚁群算法中四种启发函数得到的信息素矩阵进行叠加,再对其元素进行统计排序选取合适的阈值进行边缘提取.实验结果表明,文中方法能有效提取含一定噪声的低对比度图像边缘.
의군산법응용우대다수도상변연검측균구유항조성능력강、제취변연정세등우점,단재처리함조성적저대비도도상변연시회출현변연부분결실、변연불평활등현상.위료대저대비도도상적변연검측체도이상효과,문중통과대의군산법중신식소구진화역치선취방법진행분석,장전통의군산법중사충계발함수득도적신식소구진진행첩가,재대기원소진행통계배서선취합괄적역치진행변연제취.실험결과표명,문중방법능유효제취함일정조성적저대비도도상변연.
@@@@The image edge detection based on the ant colony algorithm has many advantages,such as strong ability of resisting noise and fine edge extraction. But when it is used in the edge extraction of lower contrast image with noise,several bad phenomenon occur,such as the hiatus of edge portion and unsmooth margin. In order to achieve the desired result for the lower contrast image edge extraction,in this paper,use the method which plus the pheromone matrixes got by four traditional heuristic functions to gain the pheromone matrix contai-ning more rich edge information,and select the appropriate threshold through the ordered matrix elements to produce the edge extraction. After comparing with several traditional methods,the experimental results show that this method can efficiently extract the edge of low contrast images with noise.