CAJ | 학술논문

该文根据骨架定义及优秀骨架的性质,提出一种图像处理方法.该方法对图像的物体像素点进行检测,评测每个像素点成为骨架点的可能性大小,然后以一个阈值对像素点进行分类,以便确定后续进行骨架提取的像素点,并通过选取适当的阈值,来获取视觉主骨架.实验表明:该方法与传统骨架提取方法相结合,所获取骨架较好地保存了目标的主要拓扑结构,在骨架的拐角更加圆滑、自然,能够有效减少骨架毛刺,并且处理所需时间有效减少.
해문근거골가정의급우수골가적성질,제출일충도상처리방법.해방법대도상적물체상소점진행검측,평측매개상소점성위골가점적가능성대소,연후이일개역치대상소점진행분류,이편학정후속진행골가제취적상소점,병통과선취괄당적역치,래획취시각주골가.실험표명:해방법여전통골가제취방법상결합,소획취골가교호지보존료목표적주요탁복결구,재골가적괴각경가원활、자연,능구유효감소골가모자,병차처리소수시간유효감소.
The curve-skeleton of an object is an important abstract geometrical and topological representation of its shape, which is extremely useful for pattern recognition and computer vision applications involving in shape analysis. In this paper, we propose an effective algorithm for extracting curve skeleton based on the definition and properties of curve skeleton from pixel cloud, which in?tegrates the advantages of the visual main parts’reliability for object recognition and the skeleton’s reduced-dimension for object representation. This algorithm can detect each pixel of the image, and find the salience value of each pixel; the salience value is the possibility of the pixel being a skeleton point. Then an appropriate threshold is selected to pruning the skeleton and to get the curve skeleton. In this way, the algorithm can be effective in reducing the number of non-skeleton pixels, and reduce the overall time of extracting skeleton. The experiments show that the skeleton keeps the topology of the target. And the corners of the skeleton are smoother and more natural. In additionally, it can effectively reduce redundant branches of skeleton.