关键词: 纹理特征提取, 局部二值模式, 完整局部二值模式算法（CLBP）, 改进的完整局部二值模式算法（ICLBP）

Abstract: For most texture feature extraction method, the problem of high computational complexity always exists. An Improved Complete Local Binary Pattern algorithm（ICLBP） is proposed based on Complete LBP（CLBP）. ICLBP preserves the CLBP_S in CLBP, while makes an improvement on CLBP_M and CLBP_C, and proposes a new texture description operator ICLBP_T. ICLBP can describe the local texture feature in a comprehensive way, and the problem that CLBP_M operator in CLBP is sensitive to uneven distribution of gray, is well solved in ICLBP. The classification results on Outex and CURet image databases suggest that, compared to the existing LBP algorithm, ICLBP has obtained a higher classification accuracy, meanwhile, the ICLBP_SCT feature  in ICLBP has a lower feature dimension and better practical value.

Key words: texture feature extraction, local binary patterns, Complete Local Binary Pattern algorithm（CLBP）, Improved Complete Local Binary Pattern algorithm（ICLBP）