Treffer: Medical image contrast enhancement using an improved fuzzy algorithm approach.

Medical imaging systems are susceptible to noise indicated from nodes and different levels of radiation exposure, which causes degradation in the contrast of the medical image. Within this paper, we attempt to improve the contrast of the medical-image via a digital image processing technique. We enhanced the fuzzy algorithm approach established by the Pas. S. K algorithm. Our proposed approach avoided the loss of information when the planar-space of the initial image is altered towards the fuzzy-space. We presented the effective outcome of employing this approach on the computed tomographic image of a human chest cavity. We found that processing the image using the improved algorithm offered additional details in comparison to the original algorithm. However the percentage of gray pixels having zero values in the image utilizing the standard fuzzy algorithm is considerably more (approximately 14.2%) than the percent obtained from processing the enhanced algorithm (7.4%). The results signified that there is an information loss resulting from compelling some image elements to zero. These results were analyzed using MATLAB. Consequently, we concluded that the enhanced algorithm is noticeably more distinct than the conventional approach of the algorithm. [ABSTRACT FROM AUTHOR]

Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)