CAJ | 학술논문

针对规则纹理和近似规则纹理，提出基于改进归一化距离匹配函数( INDMF)的纹理周期自动提取方法。该方法首先利用灰度共生矩阵的差异性作为纹理特征，去除改进归一化匹配函数的边缘，有效优化函数峰值间的稳定性。然后使用自适应峰值寻找算法去除噪声干扰，获得初始峰值序列并进行周期提取。最后使用众数计算最优周期。分别对Brodatz纹理和PSU周期纹理进行提取实验，结果显示文中方法运行效率较高，能有效提取自然纹理的结构周期。与累加DMF向前差分法相比，文中方法具有更好的抗噪声和抗畸变能力。
침대규칙문리화근사규칙문리，제출기우개진귀일화거리필배함수( INDMF)적문리주기자동제취방법。해방법수선이용회도공생구진적차이성작위문리특정，거제개진귀일화필배함수적변연，유효우화함수봉치간적은정성。연후사용자괄응봉치심조산법거제조성간우，획득초시봉치서렬병진행주기제취。최후사용음수계산최우주기。분별대Brodatz문리화PSU주기문리진행제취실험，결과현시문중방법운행효솔교고，능유효제취자연문리적결구주기。여루가DMF향전차분법상비，문중방법구유경호적항조성화항기변능력。
Based on improved normalized distance matching function ( INDMF ) , an automatic extraction method for regular and near_regular structural texture periodicity is proposed. Firstly, the dissimilarity of gray level co_occurrence matrices is calculated as the texture characteristic, and the INDMF edge is removed. Thus, the values between different peak intervals are more stable. Secondly, an adaptive and anti_noise peak searching approach is adopted to find initial periodic sequence and extract texture periodicity. Next, with the consideration of the characteristics of artificial and natural texture, the final periodicity is calculated by sequence mode. The results of extraction experiments on Brodatz and PSU datasets show the effectiveness and the efficiency of the proposed method. Moreover, the proposed method is more stable and accurate than the method of forward difference of accumulative DMF for impulsive salt and pepper noisy images and projective deformed images.