An Image Spam Classification Method for Rotating and Scaling Images
碩士 === 朝陽科技大學 === 資訊工程系 === 103 === This thesis proposes a novel algorithm to effectively identify the image spam for the problems of image rotation, scaling and the background interference. This algorithm uses image color layering to reduce the interference of the background color and adopts seven...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/96923222784300373599 |
| Summary: | 碩士 === 朝陽科技大學 === 資訊工程系 === 103 === This thesis proposes a novel algorithm to effectively identify the image spam for the problems of image rotation, scaling and the background interference. This algorithm uses image color layering to reduce the interference of the background color and adopts seven resistant scaling parameters to identifier, and capture the image objects in oval way. This thesis also proposes a hybrid image spam filter. The first part uses Optical Character Recognition (OCR) to capture the text that embed in the image, and used keyword list to filter the identify the spam. The second part uses the proposed algorithm to filter the rotation and scaling of image spam. The experimental results demonstrated that the proposed algorithm can achieve a good classification results.
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