An Improved Method for Degraded Image through Region Based Adaptive Binarization
M C Prudvi Raj1, C.Venkataramanan2
1M C Prudvi Raj, PG Scholar, Department of Electronics and communication Engineering, Sree Vidyanikethan Engineering College, Tirupathi, India.
2C.Venkataramanan, Centre for Communications and Signal Processing,Sree Vidyanikethan Engineering College, Tirupathi, India.
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1584-1587 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8163078919/19©BEIESP | DOI: 10.35940/ijitee.I8163.078919
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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: In this paper a New Binarization technique has been proposed for the image had not uniformly illuminated due to the degradation that may be caused due to the Image corrupted by Noise ,smear etc. Which leads to the poor quality of the image .To overcome from these, Pre processing that performs the certain operations for the degraded image by using Region Based Approach which uses the Global, Local thresholding for the image analysis .The Ni-Black method had been used for the enhancment of the Image.The Enhanced Ni-Black has can be used in the documents and images that had affected with uncertain transtion interms of pixels, Intensity Values.The experimental results are shown in terms of the Accuracy, and the Processing speed which gives the better performance than the previous method.
keyword: Degradation, Local Binarization, Non – uniform illumination , Region Based Approach.
Scope of the Article: Local-area and Metropolitan-Area Networks