Abstract
Enhancement increases accuracy and efficiency of radiologist interpretation of mammogram images. However, most modalities exhibit inadequate contrast, weak tissue boundaries, etc. Thus, in this paper, contrast limited adaptive histogram equalization (CLAHE) is done to improve contrast of mammographic images in order to ease the further processing and get accurate results. In most of the cases, the acquired enhanced image lacks some important features of the original mammogram which gets removed as noise by the enhancement technique leading to contradictions in the interpretation of the mammographic image. To extract better features from the mammogram images, discrete wavelet transform-based image fusion technique is implemented which fuses the original and the enhanced mammographic image together, leading to restoration of features of both the mammographic images. The performance is evaluated using dedicated metrics such as enhancement measure (EME) and entropy (E).
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Dikshit, A., Bhateja, V., Rai, A. (2022). Discrete Wavelet Transform-Based Fusion of Mammogram Images for Contrast Improvement. In: Chakravarthy, V.V.S.S.S., Flores-Fuentes, W., Bhateja, V., Biswal, B. (eds) Advances in Micro-Electronics, Embedded Systems and IoT. Lecture Notes in Electrical Engineering, vol 838. Springer, Singapore. https://doi.org/10.1007/978-981-16-8550-7_20
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DOI: https://doi.org/10.1007/978-981-16-8550-7_20
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