A Study of X-Ray Image using Morphological (Binary) Transformation

Authors : Manish Sharma.

Volume/Issue : Volume 3 - 2018, Issue 6 - June

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/xR4Q8e

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

X-Ray images are basically focusses on the internal part of human only for the purpose of taking a best treatment against any disease. But for this kind of treatment X-ray images are too degraded, here the scenario is to improve the quality of images with the help of morphological processing. The presence of several objects of adjacent/neighbor pixels values make the diagnostic process a very tough task. The scenario here for image enhancement is to upgrade the quality of an image. Here what we will do, we will consider a type of top-hat and bottom-hat operator that will use a concept of dilation and erosion for the improvement of images, and accordingly after this treatment we will found the best degraded image where the internal structure is quite visible for human eye. We will increase the contrast of our images and remove all kind of noises present in the image. X ray images basically designed only for diagnostic purposes and these kind of images must be highly visible for everyone.

Keywords : X-Ray IMAGE, Morphological/Binary Transforms, Top Hat/Bottom Hat Operator, MATLAB tool.


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