改进了红外图像中目标提取的图像阈值分割

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205) Pub Date : 2001-10-07 DOI:10.1109/ICIP.2001.959156

B. Kamgar-Parsi

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引用次数: 19

摘要

从红外图像背景中提取目标对军事和商业部门都有很大的兴趣。一种方便而流行的目标提取方法是图像阈值分割。在本文中，我们描述了一种新的、易于实现的方法来提取单帧红外图像中的目标，该方法与图像阈值法有许多相似之处。然而，在理论考虑和实验结果的基础上，我们的方法似乎明显比红外图像的图像阈值法更可靠。

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Improved image thresholding for object extraction in IR images

Object extraction from an IR image background is of great interest both to the military and the commercial sector. A convenient and popular approach to object extraction is image thresholding. In this paper, we describe a new and easy to implement approach for extracting object(s) in single frame IR images, which has many similarities to image thresholding. Both on the basis of theoretical considerations and experimental results, however, our approach appears to be noticeably more dependable than image thresholding for IR images.

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Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)

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