8 February 2010 Novel medical image enhancement algorithms
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Abstract
In this paper, we present two novel medical image enhancement algorithms. The first, a global image enhancement algorithm, utilizes an alpha-trimmed mean filter as its backbone to sharpen images. The second algorithm uses a cascaded unsharp masking technique to separate the high frequency components of an image in order for them to be enhanced using a modified adaptive contrast enhancement algorithm. Experimental results from enhancing electron microscopy, radiological, CT scan and MRI scan images, using the MATLAB environment, are then compared to the original images as well as other enhancement methods, such as histogram equalization and two forms of adaptive contrast enhancement. An image processing scheme for electron microscopy images of Purkinje cells will also be implemented and utilized as a comparison tool to evaluate the performance of our algorithm.
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Sos Agaian, Stephen A. McClendon, "Novel medical image enhancement algorithms", Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 75320W (8 February 2010); doi: 10.1117/12.839003; https://doi.org/10.1117/12.839003
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