Local binary patternShort-time Fourier transformChi-squareFDRVariance thresholdClassificationJAFFE datasetMachine Learning (ML) has been widely used for Image processing. The pertinent feature extraction and feature selection techniques can help us to accomplish many complex tasks. This paper presents a ...
Naturally, the thresholding process, the unwrapping, and the weighting can be achieved in different ways, but it is essential that it is consistent across the whole image. The code P now encodes the local intensity structure: the local binary pattern. Sign in to download full-size image ...
Local binary pattern (LBP) is a texture descriptor that has been proven to be quite effective for various image analysis tasks in image processing. In this paper one-dimensional local binary pattern (1D-LBP) based features are used for classification of seizure and seizure-free electroencephalogram...
This paper presents a method to detect copy-move image forgery using CS-LBP (centre symmetric local binary pattern), an extension of basic local binary pattern. In the proposed method, firstly gray level conversion is performed on the given image. Later, the image will be decomposed into ...
image can be considered as the signature of the face, which can be used to represent the face image in a low-dimensional space. It is known that PDF of an image is a normalized version of an image histogram [9]. PDF recently has been used in many applications of image processing such...
In: Proceedings of the 20th IEEE international conference on image processing, pp 3239–3243. https://doi.org/10.1109/ICIP.2013.6738667 Porebski A, Hoang VT, Vandenbroucke N, Hamad D (2018) Multi-color space local binary pattern-based feature selection for texture classification (erratum). ...
The face area is first divided into small regions from which Local Binary Pattern (LBP) histograms are extracted and concatenated into a single, spatially enhanced feature histogram efficiently representing the face image. Extensive experimental research proves the superiority of the proposed method in ...
www.nature.com/scientificreports OPEN Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation Hancan Zhu 1, Zhenyu Tang2, Hewei Cheng3,Yihong Wu4 &Yong Fan 5* Automatic and reliable segmentation of the hippocampus from...
The local binary pattern (LBP) operator is a very effective multi-resolution texture descriptor that can be applied in many image processing applications. However, existing LBP operators can not use the information of non-uniform patterns efficiently and they are also sensitive to noise. This paper...
Specifically, a pattern is considered uniform if its binary sequence has a transition number from 0 to 1 (or 1 to 0) is equal or less than two (e.g., 1111 1111, 1111 1101, 1111 0011). As a result, the histogram of the LBP image is reduced to 60 bins instead of 256 bins, ...