CAJ | 학술논문

图像的阈值化在图像分割中有着至关重要的作用。在OpenCV 算法环境下，运用固定阈值化和自适应阈值化算法，分别对同一幅图调用OpenCV 中相应的函数进行处理；同时针对图像中的噪声，结合高斯模糊算法对图像噪声的滤除作用，将高斯模糊和阈值化算法结合起来，分析研究图像分割算法。结果表明自适应阈值化算法可以更有效地进行图像分割。
도상적역치화재도상분할중유착지관중요적작용。재OpenCV 산법배경하，운용고정역치화화자괄응역치화산법，분별대동일폭도조용OpenCV 중상응적함수진행처리；동시침대도상중적조성，결합고사모호산법대도상조성적려제작용，장고사모호화역치화산법결합기래，분석연구도상분할산법。결과표명자괄응역치화산법가이경유효지진행도상분할。
The image threshold plays a very important role in image segmentation. In the OpenCV algorithm environment, the fixed threshold algorithm and adaptive threshold algorithm are emploied respectively to process the same image by calling the corresponding function in OpenCV. The noise in the image is eliminated in combination with the filtering function of Gauss fuzzy algorithm. The image segmentation algorithm was analyzed by means of Gauss fuzzy and thresholding algorithm. The results show that the adaptive threshold algorithm can perform image segmentation more efficiently.