Wavelet-based Image Fusion for Enhancement of ROI in CT Image
DOI:
https://doi.org/10.14738/jbemi.14.310Keywords:
CT image, Wavelet Transform, Image Enhancement, Fusion ImageAbstract
This paper proposes a novel method for enhancing Computed Tomography (CT) image. In this proposed method, the entropy-based histogram algorithm was applied to detach significant values in CT image to produce a detached image. In addition, wavelet transforms were employed for both the original CT image and the detached image to create image fusion. Therefore, an enhanced image with tumor region was obtained for diagnosis using an inverse wavelet transform. The result is that the processed region in the enhanced image shows more prominent points than that in the original image. This result can allow physicians or doctors diagnose and predict more accurately tumor regions in the enhanced CT imageReferences
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. V.V Kishore and R.V.S. Satyanarayana, "Performance evaluation of edge detectors - morphology based ROI segmentation and nodule detection from DICOM lung images in the noisy environment," in The 2013 IEEE 3rd international conference on Advance Computing Conference, 2013.
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