CAJ | 학술논문

图像边缘携带了图像的大部分主要信息。通过对图像进行边缘检测不仅能有效地提取图像信息降低计算的复杂度而且是图像测量、图像分割、图像压缩、模式识别等图像处理的基础。本文尝试将蚁群优化算法(Ant Colony Optimization,ACO)用于图像边缘检测,通过选取经典 house 图像和 SAR 机场图像设置阈值进行自适应边缘提取,实现了边缘的精确检测。实验结果显示,该算法能够有效地提取图像目标的轮廓信息,很好保持图像纹理,具有理想的抗干扰性能,保证了检测结果的准确性。
도상변연휴대료도상적대부분주요신식。통과대도상진행변연검측불부능유효지제취도상신식강저계산적복잡도이차시도상측량、도상분할、도상압축、모식식별등도상처리적기출。본문상시장의군우화산법(Ant Colony Optimization,ACO)용우도상변연검측,통과선취경전 house 도상화 SAR 궤장도상설치역치진행자괄응변연제취,실현료변연적정학검측。실험결과현시,해산법능구유효지제취도상목표적륜곽신식,흔호보지도상문리,구유이상적항간우성능,보증료검측결과적준학성。
Image edge carries most of the major information of the image.And image edge detection can effectively re-duce the computation complexity and is also the basis of image processing such as image measurement,image segmentation, image compression,pattern recognition and so on.In this paper Ant Colony Optimization (ACO)was used in image edge de-tection.The house image and SAR airport image were adaptively extracted by setting threshold,and accurate edge detection can be realized.Experimental results indicate that this algorithm can effectively extract the image object contour information, keep images texture,show ideal anti-jamming competence,and guarantee the detection accuracy.