Assessment of Digital Image Thresholding Algorithms
碩士 === 崑山科技大學 === 電子工程研究所 === 98 === Computer Vision Systems acquire digital images by means of camera lens. The quality of these images are greatly improved through pre-process to the possibility of success of follow up process. The objects and backgrounds can be separated in order to catch the inf...
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| Format: | Others |
| Language: | zh-TW |
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2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/84497913294066083615 |
| Summary: | 碩士 === 崑山科技大學 === 電子工程研究所 === 98 === Computer Vision Systems acquire digital images by means of camera lens. The quality of these images are greatly improved through pre-process to the possibility of success of follow up process. The objects and backgrounds can be separated in order to catch the information needed during the analyzing process of morphology and object characteristics identification.
The Matlab platform contains strong abilities of matrix calculation and image processing; hence, by means this powerful tool, this article aims to compute the complex mathematics for the purpose to discuss the research of different algorithms on digital image processing. This article utilizes the seven algorithms : (1) Global image thresholding (2) Local adaptive thresholding (3) Auto thresholding - isodata (4) Optimal thresholding(5) Fuzzy C-mean clustering (6) Iterative Method (7) Global and Region Features in search of the proper threshold value. This article applies various algorithms to simplify the images in this research to obtain binary images, during which accurate and efficiency will be analyzed as well.
The follow-up procedure is worked in use of morphological processing for post operation out of further related applications after binary images.
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