Segmentation Techniques for Medical Image Analysis |
Author(s): |
| Prof. Anand Jatti , R. V. College of Engineering, Bangalore, Karnataka, India; BindushreeYadav. M, R. V. College of Engineering, Bangalore, Karnataka, India |
Keywords: |
| Medical Image Segmentation, X-ray, CT, MRI, microscopy, PET, SPECT, OCT. |
Abstract |
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In day-to-day life, new technologies are emerging in the field of Image processing, especially in the domain of segmentation. Segmentation is also useful in Image Analysis and Image Compression. Segmented images are further used as input for various applications such as classification, recognition and measurement. More specifically, in the case of medical applications image segmentation is an important step towards the study of anatomical structures, diagnosis and the planning of surgeries or other forms of treatment. his paper presents a brief outline on some of the most common Medical segmentation techniques like thresholding, Region growing, snake algorithm,Active contour method etc., mentioning its advantages as well as the drawbacks. Some of the techniques are suitable for noisy images. |
Other Details |
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Paper ID: IJSRDV1I10047 Published in: Volume : 1, Issue : 10 Publication Date: 01/01/2014 Page(s): 2245-2252 |
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