Extraction of tumor region in color images using wavelets
| Autor: | Yu-Lin Hsiao, Jiann-Der Lee |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Tumor region
business.industry Color image Extraction (chemistry) Feature extraction Color image processing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Computational Mathematics ComputingMethodologies_PATTERNRECOGNITION Tissue sections Wavelet Border extraction Computational Theory and Mathematics Modelling and Simulation Modeling and Simulation Computer vision Artificial intelligence business Mathematics |
| Zdroj: | Computers & Mathematics with Applications. 40:793-803 |
| ISSN: | 0898-1221 |
| DOI: | 10.1016/s0898-1221(00)00197-8 |
| Popis: | In this paper, a wavelet-based method is proposed to extract the tumor region from a color medical image. In the past, the diagnosis of tumors usually relied upon the tissue section stained by methylene blue. However, traditional approaches have relied primarily on manual processes and erroneous assessment may arise from subjective judgement and eye measurement. Instead of the previous method, we propose an improved radial search technique to increase the accuracy of the extraction of the tumor border. Experimental results show that the proposed method is fast and can extract the tumor region successfully. Moreover, the results of this research will be helpful in the development of a computer-aided image analysis system that will automate visual feature extraction for tumor evaluation. |
| Databáze: | OpenAIRE |
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