计算机与现代化 ›› 2010, Vol. 1 ›› Issue (5): 66-68.doi: 10.3969/j.issn.1006-2475.2010.05.020

• 图像处理 • 上一篇    下一篇

高提升滤波在低对比度目标相关探测中的应用

赵新胜1,张 宇2   

  1. 1.中国石油长庆油田第一采气厂信息自控中心,陕西 靖边 718500; 2.南阳师范学院物理与电子工程学院,河南 南阳 473061
  • 收稿日期:2010-01-13 修回日期:1900-01-01 出版日期:2010-05-10 发布日期:2010-05-10

Application of High-boost Filtering in Low Contrast Target Correlation Detection

ZHAO Xin-sheng1, ZHANG Yu2   

  1. 1. Information Automation Center, First Natural Gas Plant of Changqing Oilfield Constituent Company, Jingbian 718500, China;2. College of Physics & Electronic Engineering, Nanyang Normal University, Nanyang 473061, China
  • Received:2010-01-13 Revised:1900-01-01 Online:2010-05-10 Published:2010-05-10

摘要: 光电混合联合变换器可实现对目标的实时探测、识别及自动定位,但低对比度目标的相关峰强度很弱,甚至得不到相关峰,影响了目标的识别率。利用高提升滤波处理技术和图像分割对功率谱进行增强处理,可以有效提高功率谱对比度,最大限度保留光谱图像的细节信息,提高光电联合相关系统的目标识别率。

关键词: 联合变换相关器, 高提升滤波, 功率谱, 图像增强, 图像分割

Abstract: Opto-electronic hybrid converter can be combined to achieve the target of real-time detection, identification and automatic location, but the low-contrast targets related peak intensity is very weak, or even no correlation peak, affecting the target recognition rate. Filtering to enhance the use of high-boost filtering and image segmentation of the power spectrum for the enhanced process, it can effectively improve the power spectrum of contrast, the maximum spectral images to retain the details of information to enhance co-related systems photoelectric target recognition rate.

Key words: joint transform correlator, high-boost filtering, power spectrum, image enhancement, image segmentation

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