To achieve scale invariance, existing methods based on multi-scale local binary patterns
(LBP) usually concatenate histograms of LBP codes from different scales. Direct …

Based on pattern uniformity measure and the number of ones in the Local Binary Pattern
(LBP) codes, this paper proposes an Improved Local Binary Pattern (ILBP) operator to …

Fungal diseases of banana is a global threat to banana production and cultivation.
Diagnosis of these diseases using an identification system limited by human visual …

LBP is one of the simplest yet most powerful feature extraction descriptors. Many descriptors
based on LBP have been proposed to improve its performance. Completed Local Ternary …

Local binary patterns (LBP) have powerful discriminative capabilities. However, traditional
methods with LBP histograms cannot capture spatial structures of LBP codes. To extract the …

LBP-based color features have shown excellent performance for color face recognition
tasks, such as Color LBP, CLBP and LCVBP. However, existing methods encode the inter …

Local binary pattern (LBP) is an effective image descriptor that is being used in various
computer vision applications such as detection of faces, object classification, target …

Abstract Local Binary Pattern (LBP) is one of the best descriptors of texture images;
however, it elicits information from the pixels' value over each locality and therefore its value …

Local binary pattern (LBP) has already been proved to be a powerful measure of image
texture with fixed sampling scheme: all P neighbor pixels in a single-scale are usually …

Local binary patterns (LBP) have been proved to be an uncomplicated and high-efficiency
descriptor for texture classification. However, the LBP and many variants are usually …