A new approach for robust segmentation of the noisy or textured images
文献类型：期刊论文
| 作者 | Wang ZZ(王振洲)
|
| 刊名 | SIAM Journal on Imaging Sciences
 |
| 出版日期 | 2016 |
| 卷号 | 9期号:3页码:1409-1436 |
| 关键词 | segmentation labeled pixel spatial density distribution slope difference distribution histogram distribution |
| ISSN号 | 1936-4954 |
| 产权排序 | 1 |
| 通讯作者 | 王振洲 |
| 中文摘要 | Segmentation of noisy or textured images remains challenging in both accuracy and computational efficiency. In this paper, we propose a new approach for segmentation of noisy or textured images that exist widely in real life. The proposed approach finds the mean values of different pixel classes more efficiently and accurately than the benchmark expectation maximization (EM) and K-means methods. With these mean values, the segmentation is achieved by clustering the pixels to its nearest mean. When too much noise is left for the presegmentation result or when textured objects are involved, we propose transforming the density distribution of labeled pixels into grayscale distribution by down-sampling the image with a bicubic function. An optimal threshold is automatically selected from the slope difference distribution of the histogram for the final segmentation. The extracted boundary is then refined by an energy minimization function with the detected edges when enough clear edges can be obtained. A large variety of images are used to validate the proposed approach, and the results verify its effectiveness in segmenting both noisy and textured images. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Mathematics, Applied ; Imaging Science & Photographic Technology |
| 研究领域[WOS] | Computer Science ; Mathematics ; Imaging Science & Photographic Technology |
| 关键词[WOS] | LEVEL SET METHOD ; AURORAL OVAL SEGMENTATION ; ACTIVE CONTOURS ; RANDOM-FIELDS |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000385277200021 |
| 源URL | [http://ir.sia.cn/handle/173321/19254]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Wang ZZ. A new approach for robust segmentation of the noisy or textured images[J]. SIAM Journal on Imaging Sciences,2016,9(3):1409-1436. |
| APA | Wang ZZ.(2016).A new approach for robust segmentation of the noisy or textured images.SIAM Journal on Imaging Sciences,9(3),1409-1436. |
| MLA | Wang ZZ."A new approach for robust segmentation of the noisy or textured images".SIAM Journal on Imaging Sciences 9.3(2016):1409-1436. |
入库方式： OAI收割
来源：沈阳自动化研究所
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