Content based image retrieval and segmentation of medical image database with fuzzy values
| Autor: | S. Pradeep, L. Malliga |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Image processing Content-based image retrieval Automatic image annotation Image texture Digital image processing Computer vision Visual Word Artificial intelligence business Image retrieval Feature detection (computer vision) |
| Zdroj: | International Conference on Information Communication and Embedded Systems (ICICES2014). |
| Popis: | The content based image retrieval (CBIR) is one of the most popular, rising research area of the digital image processing. In this technique which uses visual content to search image from large scale image database and its main goal of CBIR is to extract visual content of a medical image. Image retrieval based on a query image is necessary for effective and efficient use the information that is stored in medical image database. The system stores medical image along with its information (parameter) related to that medical image. Retrieving can be done by extracting most informative texture feature which can be extracted by using Gray-level-co-occurrence matrix (GLCM). This allows the retrieval of images by performing flexible queries on the database. Our main purpose is to get high accuracy of a medical image obtained by retrieving techniques. After retrieving the medical image, which can be further segmented to obtain the particular region of the medical image which is affected by any diseases. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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