大津法
图像分割
尺度空间分割
分割
计算机科学
人工智能
基于分割的对象分类
计算
模式识别(心理学)
区域增长
图像(数学)
算法
航程(航空)
计算机视觉
工程类
航空航天工程
作者
Mengxing Huang,Wenjiao Yu,Daming Zhu
摘要
By analyzing the basic principle of Otsu method and its application in image segmentation, and according to the distribution characteristics of the target and background, an improved threshold image segmentation algorithm based on the Otsu method is developed. By narrowing the selection range of threshold and searching the minimum variance ratio, the improved algorithm selects the optimal threshold. Through the compared with the Otsu method and other methods, the results show that the new improved algorithm has these advantages such as high segmentation precision and fast computation speed.
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