期刊論文
| 學年 | 103 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2015-06-15 |
| 作品名稱 | Vanishing-Point Detection Based on a Fuzzy Clustering Algorithm and New Clustering Validity Measure |
| 作品名稱（其他語言） | |
| 著者 | Chou, Chien-Hsing; Zhao, Yu-Xiang; Tai, Hsien-Pang |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Journal of Applied Science and Engineering 18(2), pp.105-116 |
| 摘要 | This paper proposes an image-preprocessing method combined with a fuzzy clustering algorithm and new validity measure to detect the vanishing point in an image. The proposed method segments the object in an image by using the clustering algorithm and then extracts critical vanishing lines. By examining the intersection of the vanishing lines, the vanishing point is located. To locate the vanishing point accurately, the initial cluster number of the fuzzy clustering algorithm should be provided correctly. Therefore, the study proposes a new clustering validity measure, the area measure, to estimate the initial cluster number according to the information of cluster areas. Experimental results on 29 images show that the proposed preprocessing method and validity measure can accurately identify the location of the vanishing point and vanishing lines. In addition, compared with several validity measures, the new validity measure achieves satisfactory experimental results and outperforms six other validity measures. |
| 關鍵字 | |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國內 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | Chou, Chien-Hsing |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/104569 ) |