title: [A robust method for automated retinal vascular images mosaic based on phase correlation method and mathematical morphology].
abstract: Precise mosaic techniques are essential for quantitative evaluation of retinal images to make early detection of fundus anomalies feasible. Opening of a gray-scale image by a gray-scale structuring element(SE) can generate a background image. Image mosaic was achieved by subtraction this background image from the original image and then applying a phase correlation method to find translation difference. Because of the accuracy characteristics of the phase correlation method and the speed of the FFT hardware, this new algorithm can work very fast and accurately, compared to conventional techniques. The method was also characterized by an outstanding robustness against correlated noise and disturbances, such as those encountered with nonuniform illumination. The results confirm the robustness of the chosen approach.
authors.affiliation: Dept of Life Science and Biomedical Engineering, Zhejiang University, Hangzhou 310027.
authors.forename: L
authors.initials: L
authors.lastname: Xu
authors.forename: H
authors.initials: H
authors.lastname: Zhang
authors.forename: Y
authors.initials: Y
authors.lastname: Yu
authors.forename: X
authors.initials: X
authors.lastname: Zheng
authors.forename: F
authors.initials: F
authors.lastname: Yu
authors.forename: J
authors.initials: J
authors.lastname: Jiang
mesh_terms: D000465:Algorithms; D005451:Fluorescein Angiography / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*