Image Enhancement of Medical Images Based on an Efficient Approach of Morphological and Arithmetic Operations
Usha Ramasamy, Perumal K "Image Enhancement of Medical Images Based on an Efficient Approach of Morphological and Arithmetic Operations". International Journal of Computer Trends and Technology (IJCTT) V49(5):253-258, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
This paper presents a new approach for a medical image pre-processing and enhancing to further segmentation and classification. An idea of this technique is helpful to improve the image contrast and quality as well as to extract if any abnormal part in a brain image. Then the size of structuring element choice, top-hat, bottom-hat morphological operation and some arithmetic operation are used for an image enhancement to increase the image contrast and quality. And image complement operation has incorporated with this process for separate the abnormal tissues from enhanced image when it is needed. The choice of the best size of structuring element in the disk-shaped mask is helpful to increase the image contrast as well as improves the Correct Classification Rate or accuracy for MRI brain-image diagnosis.
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Keywords
Magnetic Resonance Image, Morphological operations, Top hat transform, Bottom hat transform, Image Enhancement.