海空背景下红外目标边缘检测

Shengyong Li, X. Ai, Ronghua Wu, Nianlong Zeng
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引用次数: 1

摘要

边缘检测与提取是图像处理与识别的重要环节,其算法直接影响到整个检测系统的性能。特别是在复杂的海上自然环境中,对图像去噪的能力和边缘检测的精度都提出了很高的要求。以往的大多数图像边缘检测算法都有其自身的局限性和不足,因此在该领域仍有改进的空间。为了在保证检测精度的前提下获得较好的去噪和目标提取能力,提出了一种基于图像滤波处理和海洋自然环境复杂背景下灰度图像腐蚀的海线检测算法并给出了仿真实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Infrared target edge detectionin in sea sky backgrand
Edge detection and extraction is very important in image processing and recognition whose algorithm directly affect the performance of the entire detection system. The ability of image denoising and the accuracy of edge detection are both required high, especially in the complex natural environment at sea. Most of image edge examination algorithms before have limitations and disadvantages of their own, so there is still room for improvement in this area. I'd like to put forward a sea-skyline detection algorithm and give simulation examples based on image filtering processing and gray image corrosion in the complex background of natural environment at sea, aiming at acquiring preferable ability of denoising and target extraction on the premise of ensuring the detection accuracy.
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