文章基本信息

标题：PERFORMANCE ASSESSMENT OF FUZZY AND NEURO FUZZY BASED ITERATIVE IMAGE FUSION OF MEDICAL IMAGES
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作者：Dr . K. SRINIVASA REDDY ; Dr. CH.RAMESH BABU. ; Dr D. SRINIVASA RAO 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：10
出版社：Journal of Theoretical and Applied
摘要：Medical image fusion is a significant job to regain an image which delivers as much as evidence of the same body part at the similar time it also assistances to decrease the storing capability to a particular image. In this paper an assessment is completed between conventional image fusion methods; principal component analysis (PCA), discrete wavelet transform (DWT) and the projected fuzzy and neuro fuzzy based iterative image fusion techniques. The proposed method fuses images based on fuzzy inference system (fis) prepared. Experimentations have been finished on two different sets of multimodal medical images of brain. The projected technique is perceivably and significant related with the present approaches. For the assessment of the projected image fusion technique ten diverse measures is prepared and utilized of, namely Image Quality Index (IQI), Mutual Information Measure (MIM), Fusion Factor (FF), Fusion Symmetry(FS), Fusion Index (FI), Root Mean Square Error (RMSE), Peak Signal To Noise Ratio(PSNR), Entropy(E), Correlation Coefficient (CC) and Spatial Frequency (SF). Assessment outcomes demonstrated that the projected image fusion technique mechanisms improved than any of the conventional image fusion techniques.
关键词：Medical image fusion; Fusion Index; neuro fuzzy