Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

目的局部二进制模式(LBP) 是一种理论简单, 计算高效的非参数局部纹理特征描述子.
由于其具有较高的特征鉴别力和较低的计算复杂度, 因此近期获得了越来越多的关注 …

Abstract The Local Binary Pattern (LBP) operator and its variants play an important role as
the image feature extractor in the textural image retrieval and classification. The LBP-based …

Classifying texture images, especially those with significant rotation, illumination, scale, and
viewpoint changes, is a fundamental and challenging problem in computer vision. This …

Collective improvement in the acceptable or desirable accuracy level of breast cancer image-
related pattern recognition using various schemes remains challenging. Despite the …

Purpose Intraductal papillary mucinous neoplasms (IPMN s) are radiographically visible
precursor lesions of pancreatic cancer. Despite standard criteria for assessing risk, only 18 …

This paper presents a simple and novel, yet highly effective approach for robust face
recognition. Using LBP-like descriptors based on local accumulated pixel differences …

Tree identification is one of the areas that are regarded by researchers. It is done by human
expert with high cost. Experts believe that tree bark has a high relation with species in …

Mine operations in the future will require automatic rock characterization at many different
stages, since it can be used to supervise and optimize various processes in the laboratory …