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Found 9 papers, 0 papers with code
Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm
In this respect, a multi step approach is proposed in this paper to classify genders in human face images based on improved local binary patters (MLBP).
Image retrieval approach based on local texture information derived from predefined patterns and spatial domain information
In this paper, a method is presented for image retrieval based on a combination of local texture information derived from two different texture descriptors.
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection
So, in this paper a dual purpose benchmark dataset is proposed for texture image analysis and surface defect detection titled stone texture image (STI dataset).
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm
First, a noise resistant version of color local binary patterns is proposed to decrease sensitivity to noise of LBP.
Texture image analysis and texture classification methods - A review
This paper discusses the various methods used for texture or analysis in details.
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique
Since now, many approaches has been proposed for surface defect detection based on image texture analysis techniques.
A Review on Image Texture Analysis Methods
Texture classification is an active topic in image processing which plays an important role in many applications such as image retrieval, inspection systems, face recognition, medical image processing, etc.
Innovative Texture Database Collecting Approach and Feature Extraction Method based on Combination of Gray Tone Difference Matrixes, Local Binary Patterns,and K-means Clustering
In this paper, an approach is proposed to collect more efficient databases of texture images.
Design and Development of an Expert System to Help Head of University Departments
According to advantages and disadvantages of the previous methods, a full automatic system is designed in this paper using expert systems.
