Spot centroinding algorithm for discrete noise image and FPGA implementation

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Spot centroinding algorithm for discrete noise image and FPGA implementation

Information sciences | 更新时间：2020-08-12

- Spot centroinding algorithm for discrete noise image and FPGA implementation
- Optics and Precision Engineering Vol. 19, Issue 12, (2011)
- 作者机构：
  
  北京航空航天大学2. 北京航空航天大学仪器科学与光电工程学院院长
- 作者简介：
- 基金信息：
- DOI：
  CLC： TH703
- Received：10 March 2011，
  
  Revised：20 May 2011，
  
  Published Online：06 December 2011，
  
  Published：26 December 2011
- 稿件说明：
移动端阅览
樊巧云,张广军. 离散噪声图像的光斑质心算法及FPGA实现[J]. 光学精密工程, 2011, 19(12): 0-0.

FAN Qiao-Yun,ZHANG An-Jun. Spot centroinding algorithm for discrete noise image and FPGA implementation[J]. Editorial Office of Optics and Precision Engineering, 2011, 19(12): 0-0.
樊巧云,张广军. 离散噪声图像的光斑质心算法及FPGA实现[J]. 光学精密工程, 2011, 19(12): 0-0. DOI：

FAN Qiao-Yun,ZHANG An-Jun. Spot centroinding algorithm for discrete noise image and FPGA implementation[J]. Editorial Office of Optics and Precision Engineering, 2011, 19(12): 0-0. DOI：

摘要

现有的光斑质心算法无法直接对含有离散噪声点的图像进行处理，为此，提出一种不依赖去噪预处理和噪声点剔除后处理，本身具有抗单点噪声能力的光斑质心定位算法及FPGA实现方法。该方法采用对背景像素、噪声像素和光斑像素进行分别标记，通过对相邻像素标记的判断，完成对当前像素的标记，同时对属于同一光斑的像素进行质心参数累加，对判断为真正噪声点的像素不进行累加和存储。与现有方法相比，该方法能够充分利用FPGA的并行处理能力，在图像像素输出的同时完成光斑质心提取和噪声点像素去除，而且不需要存储预处理图像和噪声点像素，节省存储空间。该方法为由于图像传感器长时间曝光而引起的高亮度离散噪声光斑图像的处理提供了有效的途径。

Abstract

With currently existing spot centroiding algorithm

image with discrete noise pixel cannot be processed directly. In this paper

a new centroiding algorithm and its FPGA implementation that is immune to noise pixel is proposed. This algorithm does not depend on noise pre-process or post-process to eliminate noise pixel. Background pixel

noise pixel and spot pixel is marked differently. Each pixel is marked after it is compared with neighbouring pixel. At the same time

centroid parameters that is belong to same spot is accumulated

while noise pixel is bypassed. Compared with currently existing algorithm

this method takes full advantage of the parallel processing ability of FPGA. Centroid coordinates extracting and noise pixel eliminating runs simultaneously with picture output. The extra memory for picture pre-process is not needed and storage space is saved. This algorithm provides an effective way to process high-brightness image with discreet noise spot that is caused by long exposure time.

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Related Institution

College of Physical Science and Technology, Central China Normal University

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中国科学院长春光学精密机械与物理研究所2. 中国科学院长春光学精密机械与物理研究所3. 中科院长春光学精密机械与物理研究所

Graduate University of Chinese Academy of Sciences, Beijing 100039, China

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