光学技术, 2019, 45 (1): 85, 网络出版: 2019-04-16  

一种用于非制冷红外热成像系统的图像增强方法

An image enhancement method for uncooled infrared thermal imaging system
作者单位
1 北京空间机电研究所, 北京 100094
2 北京理工大学 光电学院, 北京 100081
摘要
在基于微悬臂梁的光学读出红外成像系统中,获得的红外图像有明显噪声,甚至有连续噪点组成孔洞,让目标难以辨识出来,因此提出基于特征模板卷积的红外图像增强方法。利用Hough变换根据微悬臂梁结构的特点,获得特征卷积模板的尺寸信息,根据成像系统特点建立卷积模板。让模板在图像内逐点卷积,建立评价参数阈值消除图像内噪声。进行均值滤波来填补噪声点及FPA单元的间隔,获得增强后的红外图像。实验结果表明,方法不仅能够有效增强光学读出红外成像系统的成像质量,对于普通存在噪声的图像也有良好的噪声消除效果。
Abstract
In the uncooled infrared imaging system by the optical readout method with the micro-cantilever, the images obtained have obvious noise. The noise is generated due to the imaging device technology and stray light effects. The noise has a bad affect for the image quality, and even the continuous noise pixels form holes, which make the target difficult to be identified. Therefore, the novel infrared image enhancement method based on the mask convolution is presented. In the method, the information of convolution mask like size can be obtained by Hough transform, and the convolution mask can be built based on the characteristics of optical readout method in uncooled infrared imaging system. The position of mask on the image is changed pixel by pixel, and convolution is made between mask and pixels in the image. Then, an evaluation parameter threshold is established for eliminating the noise of the image. In the image after denoising, a mean filter is made to fill noise pixels and unit intervals of micro-cantilever. Finally, the Enhanced infrared image can be gained.

于飞, 丁琳, 惠梅, 刘志宏, 李超, 赵跃进. 一种用于非制冷红外热成像系统的图像增强方法[J]. 光学技术, 2019, 45(1): 85. YU Fei, DING Lin, HUI Mei, LIU Zhihong, LI Chao, ZHAO Yuejin. An image enhancement method for uncooled infrared thermal imaging system[J]. Optical Technique, 2019, 45(1): 85.

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