基于OpenCV的图像阈值分割研究与实现

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。

Research and implementation of image threshold segmentation based on OpenCV

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.