关联规则的红外图像对比度自适应增强方法  

infrared image contrast ratio self-adaption enhancement method based on association rules

作　　者：张鸿雁[1] 罗永莲[1] 武丽芬[1] 

机构地区：[1]晋中学院信息技术与工程学院,山西晋中030619

出　　处：《激光杂志》2017年第5期99-103,共5页Laser Journal

基　　金：山西省教育科学"十二五"规划课题(GH-15052);晋中学院教学改革创新项目(ZL2016jg06)

摘　　要：随着红外图像的广泛应用,人们对成像质量的要求也不断提高,传统的图像增强方法一直存在增强效果差、精度低的问题,提出关联规则的红外图像对比度自适应增强方法。该方法为进一步增强图像对比度,提高分辨率,首先,通过信息熵法,获取红外图像评价函数;其次,采用Harris角点对红外图像灰度变化进行度量,实现红外图像均衡处理;然后,通过灰度等距排列,去除红外图像的冗余度;最后,利用关联规则法对红外图像对比度进行自适应增强处理。实验结果表明,采用改进的增强方法可显著提高红外图像对比度和可辨识率,改善了图像质量,具有一定的实用价值。With the wide application of the infrared image, the demand of the imag/ng quality is also rising. The traditional image enhancement method has the problems of low precision and poor effect. In order to improve the low resolution and low contrast, an adaptive enhancement method of infrared image contrast based on association rules is proposed. Firstly, through the information entropy method to abtain infrared image evaluation function. Secondly, u- sing Harris corner to measure the gray change of infrared image to realize infrared image equalization. Then, through gray equidistant arrangement, remove redundancy of infrared image. Finally, using association rules to deal with adap- tive enhancement of infrared image contrast. The experimental results show that the improved method can significantly improve the contrast and recognition rate of infrared images, improve the image quality, and has certain practical value.

关 键 词：关联规则 红外图像 对比度 自适应增强 

分 类 号：TN248.4[电子电信—物理电子学]