Accurately localizing and describing patients’ lesions has long been considered a crucial aspect of clinical diagnosis. The fusion multimodal medical images provides feasible solution to the above problem. Unfortunately, trade-off between performance heavy computation overhead remains challenge. In this paper, novel effective method for is proposed. Firstly, framelet transform (FT) introduced d...

In this paper, we propose a new finger biometric method. Infrared finger images are first captured, and then feature extraction is performed using a modified gaussian high-pass filter through binarization, local binary pattern (LBP), and local derivative pattern (LDP) methods. Infrared finger images include the multimodal features of finger veins and finger geometries. Instead of extracting eac...

Significant research has gone into engineering representations that can identify high-level semantic structure in images, such as objects, people, events and scenes. Recently there has been a shift towards learning representations of images either on top of dense features or directly from the pixel level. These features are often learned in hierarchies using large amounts of unlabeled data with...

In this paper, a global registration-fusion system of medical data is presented in detail. The system is comprised by the following basic subsystems: (1) the multimodal medical image archiving and communication subsystem, (2) the image processing subsystem, and (3) the multimodal registration and fusion subsystem. The system offers various capabilities such as storage, retrieval, distribution a...

Recently, image fusion has become one of the most promising fields in processing since it plays an essential role different applications, such as medical diagnosis and clarification images. Multimodal Medical Image Fusion (MMIF) enhances quality images by combining two or more from modalities to obtain improved fused that is clearer than original ones. Choosing best MMIF technique which produce...

Application of a multimodality imaging approach is advantageous for detection, diagnosis, and management of many ailments. Display is limited to two or three dimensions when using spatial relationships alone. The use of color, in addition to spatial relationships increases the dimensionality of the data that can be effectively visualized. A genetic algorithm has been developed to automatically ...

Multi-modal image registration is needed to align medical images collected from different protocols or imaging sources, thereby allowing the mapping of complementary information between images. One challenge of multimodal image registration is that typical similarity measures rely on statistical correlations between image intensities to determine anatomical alignment. The use of alternate image...

This paper presents a novel multi-level wavelet based fusion algorithm that combines information from fingerprint, face, iris, and signature images of an individual into a single composite image. The proposed approach reduces the memory size, increases the recognition accuracy using multimodal biometric features, and withstands common attacks such as smoothing, cropping, JPEG 2000, and filterin...