CAJ | 학술논문

仿射不变特征提取在模式识别、计算机视觉等众多领域起着重要的作用. 为了克服轮廓类算法不能处理由多部分组成的目标, 区域类算法往往具有计算复杂度高和对背景噪声敏感特点的缺陷, 提出一种非负函数积分变换;并结合非负函数积分变换和平稳小波变换, 构造一种新的仿射不变特征提取算法. 首先利用非负函数积分变换将目标转化为一条广义轮廓, 然后利用等面积参数化方法对所提取的广义轮廓进行参数化, 最后对参数化后的广义轮廓进行平稳小波变换. 仿真实验结果表明, 该算法不仅适用于由多部分组成的目标, 而且具有计算量小和对噪声不敏感的优点.
방사불변특정제취재모식식별、계산궤시각등음다영역기착중요적작용. 위료극복륜곽류산법불능처이유다부분조성적목표, 구역류산법왕왕구유계산복잡도고화대배경조성민감특점적결함, 제출일충비부함수적분변환;병결합비부함수적분변환화평은소파변환, 구조일충신적방사불변특정제취산법. 수선이용비부함수적분변환장목표전화위일조엄의륜곽, 연후이용등면적삼수화방법대소제취적엄의륜곽진행삼수화, 최후대삼수화후적엄의륜곽진행평은소파변환. 방진실험결과표명, 해산법불부괄용우유다부분조성적목표, 이차구유계산량소화대조성불민감적우점.
The extraction of affine invariant feature plays an important role in pattern recognition, computer vision and so on. The contour-based method cannot deal with objects with several separable components. The region-based method is usually at the expense of high computational complexity and sensitive to noise in the background of the image. In order to overcome these defects, non-negative function integral transform (NFIT) is put forward. By using NFIT and stationary wavelet transform, a novel algorithm is also con-structed to extract affine invariant feature. Firstly, a general contour is constructed from the object by NFIT. Furthermore, the derived general contour is parameterized by equal area normalization method. Finally, sta-tionary wavelet transform is applied to the obtained general contour. Simulation results show that the method not only can deal with objects with several separable components, but also have some properties of low computational complexity and robustness to noise.