Analysis and Detection of Skin Cancer
| Autor: | Sonali Jadhav, D. K. Kamat |
|---|---|
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | IOSR Journal of Electronics and Communication Engineering. 9:50-54 |
| ISSN: | 2278-2834 2278-8735 |
| DOI: | 10.9790/2834-09415054 |
| Popis: | Medical image preprocessing and segmentation are very important in medical area. This paper deal with the implementation of simple algorithm for detection of skin cancer also and infected area. Skin cancer are the most common cancer in human. Skin cancer are curable cancer after early detection. In hospital doctor used a biopsy (a laboratory medical procedure). There are many different type of cancer. First step is preprocessing by using median filter for removing noise. In second step segmentation done by Thresholding and Fuzzy C- Means (FCM). Feature extraction done by Gray Level Co-Occurance Matricx (GLCM). Four different statistical features are extractd. also calculating standarad deviation of feature extract. Index Terms: Skin cancer, Segmentation, Fuzzy c-means, GLCM. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|