CAJ | 학술논문

　　在现代图像处理中，Sobel算子和Hough变换是两种应用广泛的图像边缘检测技术。运用经典的Sobel算子和改进的Hough变换，对雨刷片工作后的水痕图像进行边缘检测和分析，有效地提取出了图像中的圆弧信息。实验表明，改进的算法在保证了检测精度的同时，减少了运算时间，为汽车生产商提供了评判雨刷片质量的依据。
　　재현대도상처리중，Sobel산자화Hough변환시량충응용엄범적도상변연검측기술。운용경전적Sobel산자화개진적Hough변환，대우쇄편공작후적수흔도상진행변연검측화분석，유효지제취출료도상중적원호신식。실험표명，개진적산법재보증료검측정도적동시，감소료운산시간，위기차생산상제공료평판우쇄편질량적의거。
Sobel operator and Hough transform are two widely used edge detection techniques in modern image processing. In order to extract the circular arc effectively, an improved Hough transform is presented. After detecting edge with Sobel operator and Hough transform, circular arc information within the wiper blade test image is well extracted. The result shows that calculate time is reduced. Meanwhile, measuring precision is kept as well. These provide car manufacturers with a better basis to judge the quality of wiper blade.