红外技术2017，Vol.39Issue(6)：512-516,5.
基于形态学和OTSU算法的红外图像降噪及分割
Infrared Image Denoising and Segmentation Based on Morphology and Otsu Method
摘要
Abstract
In eddy current thermography, image processing is the key basis of defect feature extraction and recognition, and the enhanced image is helpful to improve the detection effect. Therefore, a method com-bining three infrared image processing algorithms is introduced to enhance the infrared image in order to solve the problems of low SNR and contrast of infrared images. Based on analyzing the noise sources, ed-dy current infrared images are preprocessed by arithmetic calculation and the adaptive algorithm based on morphological weight is used to reduce the noise. Further, the images are segmented by 2D OTSU algo-rithm. The validity and applicability of the proposed method are both qualitatively and quantitatively veri-fied. This study aims to provide a basis for defect feature extraction and recognition.关键词
涡流热像/红外图像/形态学降噪/图像分割Key words
eddy current thermography/infrared image/morphological noise reduction/image seg-mentation分类
信息技术与安全科学引用本文复制引用
徐超,冯辅周,闵庆旭,孙吉伟,朱俊臻..基于形态学和OTSU算法的红外图像降噪及分割[J].红外技术,2017,39(6):512-516,5.基金项目
无损检测技术教育部重点实验室(南昌航空大学)开放基金(ZD201529007). （南昌航空大学）
