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Information Journal Paper

Title

A NEW APPROACH TO RETINAL VESSEL SEGMENTATION BY USING COMPUTATIONAL MODEL OF SIMPLE CELLS IN PRIMARY VISUAL CORTEX

Pages

  127-138

Abstract

 In this paper, a new unsupervised algorithm for automatic retinal blood vessel extraction is presented. A pre-processing step is introduced to eliminating optic disk and back ground noise. Blood vessel highlighting is prepared by a new method inspired by simple cells in human visual system. An adaptive threshold is introduced as an activation function of simple cells. Post-processing step is used as a final stage at the output of simple cells to eliminating exudates which is detected as the blood vessels. The results on DRIVE DATABASE demonstrate that the performance of the proposed algorithm is comparable with state-of-the-art techniques in terms of execution time and extracted vessels.

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    APA: Copy

    ZARDADI, MOHSEN, MEHRSHAD, NASSER, & RAZAVI, SEYYED MOHAMMAD. (2016). A NEW APPROACH TO RETINAL VESSEL SEGMENTATION BY USING COMPUTATIONAL MODEL OF SIMPLE CELLS IN PRIMARY VISUAL CORTEX. SIGNAL AND DATA PROCESSING, -(1 (SERIAL 27)), 127-138. SID. https://sid.ir/paper/160729/en

    Vancouver: Copy

    ZARDADI MOHSEN, MEHRSHAD NASSER, RAZAVI SEYYED MOHAMMAD. A NEW APPROACH TO RETINAL VESSEL SEGMENTATION BY USING COMPUTATIONAL MODEL OF SIMPLE CELLS IN PRIMARY VISUAL CORTEX. SIGNAL AND DATA PROCESSING[Internet]. 2016;-(1 (SERIAL 27)):127-138. Available from: https://sid.ir/paper/160729/en

    IEEE: Copy

    MOHSEN ZARDADI, NASSER MEHRSHAD, and SEYYED MOHAMMAD RAZAVI, “A NEW APPROACH TO RETINAL VESSEL SEGMENTATION BY USING COMPUTATIONAL MODEL OF SIMPLE CELLS IN PRIMARY VISUAL CORTEX,” SIGNAL AND DATA PROCESSING, vol. -, no. 1 (SERIAL 27), pp. 127–138, 2016, [Online]. Available: https://sid.ir/paper/160729/en

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