Multi-scale Binary Patterns for Texture Analysis
نویسندگان
چکیده
This paper presents two novel ways of extending the local binary pattern (LBP) texture analysis operator to multiple scales. First, large-scale texture patterns are detected by combining exponentially growing circular neighborhoods with Gaussian low-pass filtering. Second, cellular automata are proposed as a way of compactly encoding arbitrarily large circular neighborhoods. The performance of the extensions is evaluated in classifying natural textures from the Outex database.
منابع مشابه
Mandibular Trabecular Bone Analysis Using Local Binary Pattern for Osteoporosis Diagnosis
Background: Osteoporosis is a systemic skeletal disease characterized by low bone mineral density (BMD) and micro-architectural deterioration of bone tissue, leading to bone fragility and increased fracture risk. Since Panoramic image is a feasible and relatively routine imaging technique in dentistry; it could provide an opportunistic chance for screening osteoporosis. In this regard, numerous...
متن کاملتغییرات جدید الگوی دودویی محلی و طبقه بندی و قسمت بندی تصاویر بافتی بستر دریا
Texture analysis plays an important role in image processing. Considering the extraordinary appearance texture sonar images, texture analysis are good choices for analysis of acoustic seabed images. Local binary pattern (LBP) operator is a very efficient and multi-resolution texture descriptor. It acquires appropriate information from the illumination and moods of images. Despite many developin...
متن کاملA scale- and orientation-adaptive extension of Local Binary Patterns for texture classification
Local Binary Patterns (LBPs) have been used in a wide range of texture classification scenarios and have proven to provide a highly discriminative feature representation. A major limitation of LBP is its sensitivity to affine transformations. In this work, we present a scale- and rotation-invariant computation of LBP. Rotation-invariance is achieved by explicit alignment of features at the extr...
متن کاملMultiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
This paper presents a theoretically very simple yet efficient multiresolution approach to gray scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions. The method is based on recognizing that certain local binary patterns termed ‘uniform’ are fundamental properties of local image texture, and their...
متن کاملMulti-scale Joint Encoding of Local Binary Patterns for Texture and Material Classification
In the current multi-scale LBP (MS-LBP) on texture and material classification, each scale is encoded into histograms individually. This strategy ignores the correlation between different scales, and loses a lot of discriminative information. In this paper , we propose a novel and effective multi-scale joint encoding of local binary patterns (MSJLBP) for texture and material classification. In ...
متن کامل