Combined Approach for Image Segmentation
| Autor: | Harshal Chowhan, Shradha Dakhare, Manoj B. Chandak |
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| Rok vydání: | 2014 |
| Předmět: |
FOS: Computer and information sciences
Computer science business.industry Computer Vision and Pattern Recognition (cs.CV) Noise reduction Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image segmentation Image editing computer.software_genre Image (mathematics) Computer Science::Computer Vision and Pattern Recognition Median filter Computer vision Artificial intelligence Cluster analysis business computer Histogram equalization Image compression |
| Zdroj: | International Journal of Computer Trends and Technology. 11:118-121 |
| ISSN: | 2231-2803 |
| DOI: | 10.14445/22312803/ijctt-v11p125 |
| Popis: | Many image segmentation techniques have been developed over the past two decades for segmenting the images, which help for object recognition, occlusion boundary estimation within motion or stereo systems, image compression, image editing. In this, there is a combined approach for segmenting the image. By using histogram equalization to the input image, from which it gives contrast enhancement output image .After that by applying median filtering,which will remove noise from contrast output image . At last I applied fuzzy c-mean clustering algorithm to denoising output image, which give segmented output image. In this way it produce better segmented image with less computation time. Comment: 4 pages, 5 figures, Published with International Journal of Computer Trends and Technology (IJCTT) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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