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7 September 2010 Error analysis of filtering operations in pixel-duplicated images of diabetic retinopathy
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Abstract
In this paper, diabetic retinopathy is chosen for a sample target image to demonstrate the effectiveness of image enlargement through pixel duplication in identifying regions of interest. Pixel duplication is presented as a simpler alternative to data interpolation techniques for detecting small structures in the images. A comparative analysis is performed on different image processing schemes applied to both original and pixel-duplicated images. Structures of interest are detected and and classification parameters optimized for minimum false positive detection in the original and enlarged retinal pictures. The error analysis demonstrates the advantages as well as shortcomings of pixel duplication in image enhancement when spatial averaging operations (smoothing filters) are also applied.
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Mehrube Mehrubeoglu and Lifford McLauchlan "Error analysis of filtering operations in pixel-duplicated images of diabetic retinopathy", Proc. SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 77990I (7 September 2010); https://doi.org/10.1117/12.861133
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