基于改进局部方向模式的纹理分类
|
摘要
针对局部方向模式(Local Directional Patterns,LDP)及其扩展方法存在的问题,提出了一种增强的局部方向模式方法。首先,针对传统LDP及其改进的刚性模式划分策略,基于模糊逻辑理论,通过引入模糊隶属度函数来提高模式划分的准确性。其次,对传统的局部3×3邻域进行了扩展,新的拓扑结构不但可实现多分辨率分析,而且进一步降低了噪声的影响。采用在纹理分类领域广泛应用的UIUC、Curet和Outex纹理图像库进行试验,结果表明新的方法可以显著提高纹理图像的分类效能。
In order to improve the performance of the traditional local directional patterns(LDP) and its extensions,an improved LDP method is proposed.Aiming at the traditional LDP and its improved rigid pattern partitioning strategy,based on the fuzzy logic theory,the accuracy of pattern partitioning is improved by introducing the fuzzy membership function.Then,the traditional local structure 3 ×3 of the local directional patterns is extended to multiscale region. The new topology can not only achieve multi-resolution analysis, but also further reduce the impact of noise.The widely used texture databases,such as UIUC,Curet and Outex,are used as test beds,and the results show that the proposed schemes perform better than the traditional methods.
In order to improve the performance of the traditional local directional patterns(LDP) and its extensions,an improved LDP method is proposed.Aiming at the traditional LDP and its improved rigid pattern partitioning strategy,based on the fuzzy logic theory,the accuracy of pattern partitioning is improved by introducing the fuzzy membership function.Then,the traditional local structure 3 ×3 of the local directional patterns is extended to multiscale region. The new topology can not only achieve multi-resolution analysis, but also further reduce the impact of noise.The widely used texture databases,such as UIUC,Curet and Outex,are used as test beds,and the results show that the proposed schemes perform better than the traditional methods.
引文
[1] Ojala T,Pietikainen M,Hardwood D.A comparative study of texture measures with classification based on feature distributions[J].Pattern Recognition,1996,29:51-59.
[2] Ojala T, Pietikainen M, Maenpaa T. Multiresolution grayscale and rotation invariant texture classification with Local Binary Patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.
[3] Jabid T, Kabir M H, Chae 0. Local directional pattern(LDP)for face recognition[C]//2010 Digest of Technical Papers International Conference on Consumer Electronics.2010.
[4] Jabid T,Kabir M H,Chae O.Facial expression recognition using local directional pattern(LDP)[C]//2010 17th IEEE International Conference on Image Processing.2010.
[5] Zhong F J,Zhang J S.Face recognition with enhanced local directional patterns[J]. Neurocomputing,2013,119:375-384.
[6] Castillo J A R,Rivera A R,Chae O.Facial expression recognition based on local sign directional pattern[C]//201219th IEEE International Conference on Image Processing.2012
[7] Rivera A R,Castillo J R,Chae O. Local directional texture pattern image descriptor[J]. Pattern Recognition Letters,2015,51:94-100.
[8] Ryu B,Rivera A R,Kim J,et al. Local directional ternary pattern for facial expression recognition[J]. IEEE Transactions on Image Processing,2017,26(12):6006-6018.
[9] Lazebnik S,Schmid C,Ponce J.A sparse texture representation using local affine regions[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(8):1265-1278.
[10] Dana K J,Nayar S K,Van Ginneken B,et al.Reflectance and texture of real-world surfaces[J].ACM Transactions on Graphics,1999,18(1):1-34
[11] Ojala T,Maenpaa T,Pietikainen M,et al.Outex-new framework for empirical evaluation of texture analysis algorithms[C]//16th International Conference on Pattern Recognition.2002:701-706.
[12]吕俊白.基于快速Kirsch与边缘点概率分析的边缘提取[J].计算机应用,2001(2):33-35
[13] Katsigiannis S,Keramidas E,Maroulis D.FLBP:Fuzzy Local Binary Patterns[M]//Local Binary Patterns:New Variants and Applications. Springer Berlin Heidelberg,2014:149-175.
[14]张智丰,裴志利.基于模糊局部二值模式算子的图像伪造检测[J].计算机工程与设计,2015,36(12):3284-3290.
[2] Ojala T, Pietikainen M, Maenpaa T. Multiresolution grayscale and rotation invariant texture classification with Local Binary Patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.
[3] Jabid T, Kabir M H, Chae 0. Local directional pattern(LDP)for face recognition[C]//2010 Digest of Technical Papers International Conference on Consumer Electronics.2010.
[4] Jabid T,Kabir M H,Chae O.Facial expression recognition using local directional pattern(LDP)[C]//2010 17th IEEE International Conference on Image Processing.2010.
[5] Zhong F J,Zhang J S.Face recognition with enhanced local directional patterns[J]. Neurocomputing,2013,119:375-384.
[6] Castillo J A R,Rivera A R,Chae O.Facial expression recognition based on local sign directional pattern[C]//201219th IEEE International Conference on Image Processing.2012
[7] Rivera A R,Castillo J R,Chae O. Local directional texture pattern image descriptor[J]. Pattern Recognition Letters,2015,51:94-100.
[8] Ryu B,Rivera A R,Kim J,et al. Local directional ternary pattern for facial expression recognition[J]. IEEE Transactions on Image Processing,2017,26(12):6006-6018.
[9] Lazebnik S,Schmid C,Ponce J.A sparse texture representation using local affine regions[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(8):1265-1278.
[10] Dana K J,Nayar S K,Van Ginneken B,et al.Reflectance and texture of real-world surfaces[J].ACM Transactions on Graphics,1999,18(1):1-34
[11] Ojala T,Maenpaa T,Pietikainen M,et al.Outex-new framework for empirical evaluation of texture analysis algorithms[C]//16th International Conference on Pattern Recognition.2002:701-706.
[12]吕俊白.基于快速Kirsch与边缘点概率分析的边缘提取[J].计算机应用,2001(2):33-35
[13] Katsigiannis S,Keramidas E,Maroulis D.FLBP:Fuzzy Local Binary Patterns[M]//Local Binary Patterns:New Variants and Applications. Springer Berlin Heidelberg,2014:149-175.
[14]张智丰,裴志利.基于模糊局部二值模式算子的图像伪造检测[J].计算机工程与设计,2015,36(12):3284-3290.