CAJ | 학술논문

规则度是纹理图像的主要特征之一，能够用于纹理图像的描述和分类。基于累加距离匹配函数(SDMF)提出一种纹理图像规则度计算方法，并建立规则-近似规则-随机纹理的分类模型和进行纹理粗细程度判定。首先针对纹理图像构建相应SDMF；然后利用二次求导和阈值划分提取显著峰谷；最后以峰值和谷值的数量，位置，关系为特征，构建周期规则度特征向量和纹理分类模型。以Brodatz图像库进行实验的结果表明，文中的规则度能够有效地区分规则图像、近似规则图像和随机图像，符合视觉感知，并与已有研究结果进行类比验证，具有更好的准确性；同时，由于SDMF的第一周期可以作为纹理基元的尺寸，因此可以扩展对纹理基元的粗细程度的分类。
규칙도시문리도상적주요특정지일，능구용우문리도상적묘술화분류。기우루가거리필배함수(SDMF)제출일충문리도상규칙도계산방법，병건립규칙-근사규칙-수궤문리적분류모형화진행문리조세정도판정。수선침대문리도상구건상응SDMF；연후이용이차구도화역치화분제취현저봉곡；최후이봉치화곡치적수량，위치，관계위특정，구건주기규칙도특정향량화문리분류모형。이Brodatz도상고진행실험적결과표명，문중적규칙도능구유효지구분규칙도상、근사규칙도상화수궤도상，부합시각감지，병여이유연구결과진행류비험증，구유경호적준학성；동시，유우SDMF적제일주기가이작위문리기원적척촌，인차가이확전대문리기원적조세정도적분류。
Regularity is one of the main features of texture image, and it can be used for description and classification of texture images. A computation method of texture regularity based on summed-up distance matching function (SDMF) is proposed. On this basis, texture classification model for regular texture, ap-proximate regular texture and random texture is also proposed as well as texton roughness. First of all, SDMF of the texture image is constructed. Then, significant peaks and valleys of SDMF are extracted by second derivative and threshold division. At last, texture regularity computation and classification is charac-terized by the quantity, position and relationship among peaks and valleys. Experiment results based on Brodatz image database show that the proposed method can effectively distinguish different regular and ir-regular textures and has intuitive meaning. Compared with the existing method, the proposed method is more accurate. Meanwhile, the first periodicity of SDMF can be used as texture primitive size, that makes it as an extension of computation of degree of the texture roughness.