海量小差异图像高精度挖掘算法设计  

Design of high-precision mining algorithm for massive small-difference images

作　　者：石丽怡 唐普霞 SHI Liyi TANG Puxia(Department of Public Safety Technology, Hainan Vocational College of Political Science and Law, Haikou 571100, China)

机构地区：[1]海南政法学院公共安全技术系,海南海口571100

出　　处：《现代电子技术》2017年第1期53-56,共4页Modern Electronics Technique

摘　　要：针对传统的图像挖掘算法对小差异性图像特征挖掘精度不高的难题,提出一种基于不变矩特征提取的海量小差异图像高精度挖掘算法,通过构建图像的边缘检测和种子点分割模型,再采用小波降噪进行抗干扰处理,通过曲面约束进行相似图像的解释散点特征提取,根据海量小差异图像的旋转平移和尺度的不变性,实现对小差异图像的特征分辨和高精度挖掘。实验测试结果表明该算法能提高海量小差异图像挖掘的精度。Since the traditional image mining algorithm has low feature mining precision for the small-difference images,the massive small-difference images high-precision mining algorithm based on moment invariant feature extraction is proposed.The edge detection and seed point segmentation model was constructed for the image, and performed for anti-interference pro-cessing with the wavelet denoising. The similar image splashes feature is extracted by means of surface constraint to realize thesmall-difference images feature distinguishing and high-precision mining according to the rotation translation and scaling inva-riance of the massive small-difference images. The test results show that the algorithm can improve the mining accuracy of themassive small difference images.

关 键 词：图像挖掘 不变矩 特征提取 图像降噪 

分 类 号：TN911[电子电信—通信与信息系统]