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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhu hao Liu wenyao Wang jintao |
| Copyright Year | 2005 |
| Description | Author affiliation: Coll. of Precision Instrum. & Opto-Electron. Eng., Tianjin Univ., China (Zhu hao; Liu wenyao) |
| Abstract | Previous research about automatic vision systems applied to fruit imaging segmentation fails. Watershed transformation is a powerful morphological tool for image segmentation. However, the performance of segmentation methods based on watershed depends largely on gradient of the image. It's not perfect to segment object with single-scale gradient. In this paper we present a multi-scale algorithm for computing morphological gradient images, after this transformation, there exists a strict causality between gradient watershed under different scales of geodesic reconstruction. The results demonstrate the superior performance of the watershed segmentation over the conventional techniques. |
| Sponsorship | IEEE Beijing Sect |
| Starting Page | 1150 |
| Ending Page | 1153 |
| File Size | 1849989 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780391284 |
| DOI | 10.1109/MAPE.2005.1618125 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer aided manufacturing Image edge detection Instruments Laboratories Catchment basin Surface morphology Multi-scale gradient operator Structuring element Educational institutions Electromagnetic compatibility Surface topography Construction cell SKIZ Image segmentation Machine vision Geodesic influence zone Dilation Volcanoes Watershed segmentation Geodesic distance |
| Content Type | Text |
| Resource Type | Article |
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