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Research on Fundus Image Fusion and System Implementation

Author: YouJia
Tutor: HeZhongShi
School: Chongqing University
Course: Computer Software and Theory
Keywords: Fundus image fusion Vessel enhancement Image registration Mutual Information PSO
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 44
Quote: 1
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Abstract


Fundus image fusion is taken from a different time, different sensors or different perspectives on the fundus image or image sequence will be integrated process. Fundus image in ophthalmology is an objective standard diagnostic method, image fusion technology fundus image can provide more information interpreted very important role in analyzing and documenting a variety of eye diseases and their development. The fusion process can be divided into three phases: preprocessing, image registration and image fusion, various stages of processing algorithms many current is not a method suitable for all images, often need to, as far as possible in the process according to the image itself characterized Find the balance of the program on the accuracy, speed and robustness. Based on this, we adopt a progressive layers of the structure, enhanced retinal vascular problems highlighted in the preprocessing stage considered proposed based on the Hessian matrix of vascular enhancement program; taking into account the optimization algorithm has important implications for image registration, with the quasi phase, this paper presents the image registration based on mutual information and PSO-NMS program; fusion part focuses on the wavelet-based fusion method, a wavelet transform fusion method based on spatial frequency and maximum area, and at the same time integrate fundus image fusion of the whole process program, and the program is applied to the implementation of the fundus image fusion system, in order to prove the practicality of this program. In this paper, the specific work are as follows: ① elaborated definition image fusion theory, methods and processes, from the image fusion processing stage, the registration stage, integration stage to clarify one of the key steps in the fusion results, and describes the current main image enhanced registration and fusion method. ② respectively in the fusion of the three stages of the proposed solutions for the fundus image. In the preprocessing stage, to retain the information of the vascular structure in the fundus image, while reducing the computational complexity of the image registration, this paper introduces several common fundus image enhancement method base on the proposed enhancement method based on the Hessian matrix of vascular , plus image correction and smooth, the formation of the fundus image fusion pretreatment program. At the registration stage, to highlight the similarity measure based on mutual information, and particle swarm optimization algorithm for solving complex problems and its improvement, and on this basis, this paper application of a simplex method combined with particle swarm algorithm mixed optimization algorithm to solve the transformation parameters. Registration framework, the formation of a system of registration program. Wavelet-based image fusion method, and detailed wavelet decomposition and reconstruction process in the integration phase, the focus on this basis, this paper presents a wavelet maximum spatial frequency-based and regional integration program. ③ integrated pre-processing, image registration and fusion of the three stages of the treatment program, the overall scheme of a fundus image fusion. Fundus image fusion system architecture and functional modules, formed on the basis of image fusion design programs and procedures, the development of the fundus image fusion system based on Visual C.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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