Segmentation of Ultrasound Images Using Closest Neighbour Approach
Neha Rani1, Tejinder Thind2
1Tejinder Thind, Prof., Department of Computer Science & Engineering, Lovely Professional University, Jalandhar (Panjab), India.
2Neha Rani, Department of Computer Science & Engineering, Lovely Professional University, Jalandhar (Panjab), India.
Manuscript received on 21 January 2013 | Revised Manuscript received on 28 January 2013 | Manuscript published on 30 January 2013 | PP: 101-103 | Volume-1 Issue-6, January 2013 | Retrieval Number: F0441021613/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As we know image segmentation is field which is uses in automated recognition of objects in medical fields, traffic analysis, face recognition and many more. In past few year as image processing goes on hike researches continuously exploring the field of image segmentation with various algorithm. Main problem of this field is overcome from over segmentation and the merging criteria for various clusters to segment an object. Medical images are difficult to segment due to low contrast and speckle noise. We are going to overcome over segmentation and will use closest element approach to merge various objects for segmentation. Also compare it with other technique of segmentation.
Keywords: Closest Neighbour Approach, Segmentation, US Images.
Scope of the Article: Image Processing