基于多尺度空间分析的图像阈值分割方法

详细信息

Image Threshold Segmentation Based on Multi-scale Space Analysis

The Key Laboratory of Multimedia and Network Communication Engineering, Hubei Province, Wuhan University, 129 Luoyu Road, Wuhan, China, 430079

摘要: 在通过一阶差分确定阈值的基础上,依据多尺度滤波思想,提出一种基于多尺度空间分析的阈值分割方法对图像进行分割。将该方法与其他分割方法进行了比较,证明了本文算法的有效性。
- 图像分割 /
- 阈值 /
- 灰度直方图 /
- 多尺度空间
Abstract: This paper proposes a method for image threshold segmentation using multi-scale space analysis.Multi-scale space is obtained through multi-scale filtering to original histogram of luminance.On the analysis of multi-scale space,the range of filtering scales is determined so as to avoid scales continually increasing/decreasing and improve the efficiency of algorithm.Then the original histogram is filtered by coarse-fine scale in the determined range of scales.Locations of significant inflexions at different scales can be obtained as thresholds by computing the second difference of the filtered histogram.Accroding to the number of inflexions at the largest scale and inflexions corresponding to graylevels,the fine locations of inflexions at the largest scale are obtained as thresholds.The result shows that the proposed algorithm is effective by contrast with other image segmentation algorithms.
- image segmentation /
- threshold /
- histogram /
- multi-scale space