Euclidean Distance transformation and watershed are fundamental technique for the application fields of image understanding and computer vision. Calculated using the watershed transformation can be extracted important image features. Such as the identification of the contour and the number of such applications.
In this paper, we will compare the effects of our proposed watershed transform method and other watershed transformation method. Our proposed method will be more accurate. In image processing, object boundary segmentation is an important and fundamental issue.This study modified the traditional style of the watershed transformation,and we proposed the concept of an election-style, so that contact between the object image can be properly divided. By this method, image of objects can be converted according to the results of Euclidean distance transformation. It is easier to obtain images of various objects in the correct profile for easy application in medical image. Finally,we compare our methed with the National Institutes of Health (NIH) developed image processing software ImageJ, and marker-controlled watershed transformation of other scholars.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0826110-172728 |
| Date | 26 August 2010 |
| Creators | Hsu, Wei-sheng |
| Contributors | shi-jr Lee, Tsung Lee, ben-sheng chow |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826110-172728 |
| Rights | not_available, Copyright information available at source archive |
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