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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dai Fang Zheng Nanning Xue Jianru |
| Copyright Year | 2008 |
| Description | Author affiliation: Inst. of Artificial Intell. & Robot., Xi'an Jiaotong Univ., Xian (Dai Fang; Zheng Nanning; Xue Jianru) |
| Abstract | Primal sketch is a sparse representation for image. It is a difficult task in low-level computer vision. In this paper, an image primal sketch method is presented by using empirical mode decomposition and Hough transform. The key of image primal sketch includes two steps. One is extracting features from image. The other is representing the image features. Using empirical mode decomposition technique in features extracting process decomposes the gradient magnitude image. The intrinsic mode functions are obtained and they catch information under different scales of image, where the first intrinsic mode function represents the image information under finest scale of image. In features expressing process, the sum image of the first and the second intrinsic mode function is segment by a threshold and the binary image that representing the features of original image can be obtained. Using line segments detected by Hough transform in the binary image draws the primal sketch. Experiment results demonstrate that the primal sketch of image regarding line segments as its primitive can reflect image features effectively. |
| Starting Page | 2521 |
| Ending Page | 2524 |
| File Size | 530879 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424417179 |
| DOI | 10.1109/ICIEA.2008.4582973 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-03 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
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