Segmentation of Liver and Retrieval Procedure by Feature Extraction for CT-Scan Abdominal Image Processing
K.A.M. Sajad Hyder1, M. Vanitha2

1K.A.M. Sajad Hyder, Research Scholar PG & Research, Department of Computer Science, J.J College of Arts and Science, Pudukkottai (Tamil Nadu)-622422. India.
2Dr. M. Vanitha, Ph.D. and Research, Assistant Professor, Department of Computer Application, Alagappa University, Karaikudi (Tamil Nadu)- 600006. India.

Manuscript received on 20 September 2016 | Revised Manuscript received on 30 September 2016 | Manuscript published on 30 September 2016 | PP: 7-15 | Volume-5 Issue-4, September 2016 | Retrieval Number: D1617095416©BEIESP
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Abstract: Liver is an important vital organ. In these days medical professionals utilize CT scan abdominal images for the diagnosis of liver disorders. There arise the problem of liver segmentation and image processing for recapturing the matching image of predetermined image of liver ill state. In this present work a new way of methodology has been introduced for the pulling out liver image in a large dataset of abdominal scanned images. Further the segmented liver images are preprocessed for the feature extractions of Shape, Intensity and Texture. An automatic system of Least Distance Method (LDM) is used for the recalling of image is run into the system. There is a significant speed and accuracy have been notified by this LDM. The above results are discussed with earlier related works and concluded with the application in clinical practice.
Keywords: Automatic retrieval technique, Digital image processing, Liver Segmentation, Least Distance method for recapturing matching image.

Scope of the Article: IoT Applied for Digital Contents