CAJ | 학술논문

图像处理在金属部件内缺陷无损识别检测中有重要应用,但在原始图像辨识处理中至今仍存在如边缘不清晰等诸多问题.为消除传统图像辨识中的边缘不连续,伪边缘、过分割,提出了一种基于模糊形态学的图像几何特征辨识算法.该算法基于模糊形态学辨识结构元素特征,分析各元素间的相互关系,对经预处理后的图像确定隶属度函数参数,采用最优阈值自动识别方法确定图像最佳分割阈值,以最佳阈值和路径代价函数为约束条件,缩小路径搜索范围,提高算法执行速度,借助分水岭算法重现图像边缘,辨识出图像的几何特征.最后以一种特殊的图像几何特征识别为例进行了数字仿真.仿真图像显示,经处理后的图像边缘连续,无伪边缘和过分割现象,图像更加平滑,柔和性更好.研究结果表明,该方法是可行和有效的.
도상처리재금속부건내결함무손식별검측중유중요응용,단재원시도상변식처리중지금잉존재여변연불청석등제다문제.위소제전통도상변식중적변연불련속,위변연、과분할,제출료일충기우모호형태학적도상궤하특정변식산법.해산법기우모호형태학변식결구원소특정,분석각원소간적상호관계,대경예처리후적도상학정대속도함수삼수,채용최우역치자동식별방법학정도상최가분할역치,이최가역치화로경대개함수위약속조건,축소로경수색범위,제고산법집행속도,차조분수령산법중현도상변연,변식출도상적궤하특정.최후이일충특수적도상궤하특정식별위례진행료수자방진.방진도상현시,경처리후적도상변연련속,무위변연화과분할현상,도상경가평활,유화성경호.연구결과표명,해방법시가행화유효적.
Image processing has very important application in nondestructive test of defective metal parts,but there exist many problems in the process for original image identification processing,such as edge unclear.In order to remove edge discontinuousness,forge edge and over-segmentation,the paper proposed an algorithm of fuzzy morphology based feature identification in image processing.The method based on structure element of fuzzy mathematical morphology to identify feature,analyzed elements correlation,decided subjection function after preprocessed images,ascertained best segmentation threshold adopting technology of auto-recognition best threshold.Then the algorithm took best threshold and path cost function as constraint condition to reduce search scope,enhance algorithm executing speed.Finally it extracted edge and identified image geometry features by dint of watershed algorithm.The paper took a special kind of recognition of image geometry features as an example to make the digital simulation,and the processed images demonstrated that it not only could make image edge continuous,but also could remove the phenomena of forge edge and over-segmentation,and the image change smoother and more flexible by using the algorithm to process images.The research result shows that the proposed method is feasible and effective.