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Gabor Filter based Thresholding Level Method for Medical Image Enhancement

Author(s):

PATEL ANKITKUMAR ARVINDBHAI , Department of Electronics & Communication Engineering, Kalol Institute of Technology & Research Centre, Kalol-382721; kishor bamniya, Department of Electronics & Communication Engineering, Kalol Institute of Technology & Research Centre, Kalol-382721

Keywords:

Lung cancer, Gabor filter, Image enhancement, Thresholding.

Abstract

Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. A frequency domain smoothing-sharpening technique is proposed and its impact is assessed to beneficially enhance the lung cancer images. This technique aims to gain the advantages of enhance and sharpening process that aims to highlight sudden changes in the image intensity and identifying the level of image for diagnosis purpose. The already developed technique also eliminates the drawbacks of each of the two sharpening and smoothing techniques resulting from their individual application in image processing field. Significant improvement in contrast of masses along with the suppression of background information.The proposed technique is tested lung cancer images of average filter and thresholding of level. The simulated results show that the high potential to advantageously enhance the image contrast hence giving extra aid to radiologists to detect it damage portion in lung.

Other Details

Paper ID: IJSRDV2I3442
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 1338-1341

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