基于相关向量机的图像阈值技术，Image Thresholding Based on Relevance Vector Machine -Relevance vector machine-based image thresholding techniques, Image Thresholding Based on Relevance Vector Machine

边缘检测法和阈值分割法，是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验，在详细分析检测原理的基础上，编写了相应的实验并给出了实验结果。-Edge detection and thresholding method, image segmentation is an important technology in two ways. This arti

The implemented Sauvola method uses integral images for fast computation of the threshold function. The Sauvola method is described in: J. Sauvola and M. Pietikainen, Adaptive document image binarization, Pattern Recognition 33, 2000. - ht