Multimodal medical image fusion based on Integer Wavelet Transform and Neuro-Fuzzy

A Survey on Multimodal Medical Image Fusion

“…The improvements of feature processing and analysis can be improved to fit the fuzzy space better when combined with probabilistic approaches such as fuzzy-neural network [41,43], fuzzy-genetic-neural network-rough set [87], fuzzy-probability [89] and neuro-fuzzy-wavelet [82].…”

“…Similar to neural network, the kernel based operators such as support vector machines (SVM) can be used along with wavelets to achieve image fusion at feature levels [66]. Considering wavelets as a fusion operator, several feature processing methods can be combined such as wavelet-SVM [66], wavelet-texture measure [29], wavelet-MRA [30,67], wavelet-self adaptive operator [69], wavelet-resolution-entropy [70,72], nonlinear wavelet-shift invariant imaging [71], ICA-wavelet [86], waveletedge feature [75], wavelet-genetic [59], wavelet-contourlet transform [81], neuro-fuzzy-wavelet [82] and wavelet-entropy [84].…”

“…The primary concept used by the wavelet based image fusion [26][27], [59,[61][62][63][64][65][66][67][68][69], [40], [70][71][72][73][74][75][76][77][78][79][80][81][82][83][84], [29,30,[32][33][34] is to extract the detail information from one image and inject it into another. The detail information in images is usually in the high frequency and wavelets would have the ability to select the frequencies in both space and time.…”

“…The fuzzy logic is applied both as a feature transform operator or a decision operator for image fusion [47][48][49][50][51][52][53][54][55][56][57][58][59][60], [87][88][89][90][91][92], [82]. There are several applications of fuzzy logic base image fusion such as brain diagnosis [47,48,49,50], cancer treatment [51], image segmentation and integration [51][52], maximization mutual information [53], deep brain stimulation [54], brain tumor segmentation [55], image retrieval [56][57], spatial weighted entropy [56], feature fusion [56], multimodal image fusion [41,58,59], ovarian cancer diagnosis [60], sensor fusion [88], natural computing methods [87] and gene expression [89,90].…”

Multimodal Medical Image Fusion Using Various Hybrid Fusion Techniques For clinical Treatment Analysis

“…Sudeb Das, Malay Kumar Kundu [6] introduce a novel approach to the multimodal medical image fusion problem, employing multi scale geometric analysis of the nonsubsampled contourlet transform and fuzzy-adaptive reduced pulse-coupled neural network. C. T. Kavitha, C.Chellamuthu [7] proposes image fusion based on Integer Wavelet Transform (IWT) and Neuro-Fuzzy. The anatomical and functional images are decomposed using Integer Wavelet Transform.…”