基于Kirsch算子图像分割的FPGA设计与实现

doi:10.7517/issn.1674-0475.190401

影像科学与光化学 ›› 2019, Vol. 37 ›› Issue (4): 332-335.DOI: 10.7517/issn.1674-0475.190401

基于Kirsch算子图像分割的FPGA设计与实现

王小东, 赵仁宏

潍坊医学院, 山东潍坊 261053

收稿日期:2019-04-03 出版日期:2019-07-15 发布日期:2019-07-15
通讯作者: 赵仁宏
基金资助:
山东省自然科学基金项目（ZR2015HL097）资助

Design and Implementation of FPGA Based on Kirsch Operator Image Segmentation

WANG Xiaodong, ZHAO Renhong

Weifang Medical College, Weifang 261053, Shandong, P. R. China

Received:2019-04-03 Online:2019-07-15 Published:2019-07-15

摘要/Abstract

摘要： 医学影像是医疗诊断的重要手段。在一些疾病的早期诊断过程中，组织的边缘信息代表重要的特征数据，对疾病的确诊起着至关重要的作用。因此对医学影像进行准确清晰的图像分割对医疗诊断的准确性具有重要的促进作用。本文采用Kirsch算子对医学影像进行图像分割获得组织边缘。为了提高运算速度和分割效率，采用具有并行运算能力的FPGA器件进行设计实现。最后在QuartusⅡ平台上进行了仿真验证，得到了精确的图像边缘。

关键词: 图像分割, Kirsch, FPGA

Abstract: Medical imaging is an important means of medical diagnosis. In the early diagnosis of some diseases, tissue information represents important characteristic data and plays a crucial role in the diagnosis of diseases. Therefore, accurate and clear image segmentation of medical images has a great effect on the accuracy of medical diagnosis. In order to improve the efficiency and speed of computing, this ariticle use FPGA devices with parallel computing power to extract image edges. Finally, the simulation on the Quartus platform has been done and the precise image edges are obtained.

Key words: image segmentation, Kirsch, FPGA

王小东, 赵仁宏. 基于Kirsch算子图像分割的FPGA设计与实现[J]. 影像科学与光化学, 2019, 37(4): 332-335.

WANG Xiaodong, ZHAO Renhong. Design and Implementation of FPGA Based on Kirsch Operator Image Segmentation[J]. Imaging Science and Photochemistry, 2019, 37(4): 332-335.

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基于Kirsch算子图像分割的FPGA设计与实现

Design and Implementation of FPGA Based on Kirsch Operator Image Segmentation

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