计算机工程与应用2011，Vol.47Issue(31)：4-6,3.DOI:10.3778/j.issn.1002-8331.2011.31.002
具有高斯噪声不变性的特征描述算子
Gaussian noise insensitive image feature descriptor
摘要
Abstract
A novel image texture feature descriptor is proposed which is insensitive to Gaussian blur and Gaussian noise. The four scales horizontal high-pass components and vertical high-pass components of image are extracted by dyadic wavelet transform.These components are arranged at each pixel in image, and then uniformly quantized in an eight-dimensional space, represented as an integer using binary coding.At last, a histogram sequence is computed by concatenated histogram from each region which is the descriptor of the image.Due only using the high-frequency coefficients, the descriptor is more robust to Gaussian noise.Experiment on face image recognition shows that the method has attractive features than LBP and LPQ which is the state-of-art local feature descriptors.关键词
二进小波/量化特征/直方图特征/人脸识别Key words
dyadic wavelet/ quantization feature/ histogram feature/ face recognition分类
信息技术与安全科学引用本文复制引用
高志升,谢春芝..具有高斯噪声不变性的特征描述算子[J].计算机工程与应用,2011,47(31):4-6,3.基金项目
四川省网络智能信息处理高校重点实验室项目(No.SGXZD1002-10) （No.SGXZD1002-10）
四川省计算机软件与理论重点学科经费资助(No.SZD0802-09-1). （No.SZD0802-09-1）
