Results 51 to 60 of about 5,981 (216)

Comparative Analysis of Texture Classification Using Local Binary Pattern and Its Variants

, 2017
Texture classification is an important issue in digital image processing and the Local Binary pattern (LBP) is a very powerful method used for analysing textures. LBP has gained significant popularity in texture analysis world.
Richa Sharma, Madan Lal
core   +1 more source

CN-LBP: Complex Networks-Based Local Binary Patterns for Texture Classification

2021 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), 2021
To overcome the limitations of original local binary patterns (LBP), this article proposes a new texture descriptor aided by complex networks (CN) and LBP, named CN-LBP. Specifically, we first abstract a texture image (TI) as directed graphs over different bands with the help of pixel distance, intensity, and gradient (magnitude and angle).
openaire   +3 more sources

Texture feature method based on Gaussian local binary pattern

Dianzi Jishu Yingyong, 2018
The texture description of machine vision is important for image analysis and pattern recognition. To improve the robustness of feature describing, a texture feature based on Gaussian local binary pattern(LBP) is proposed in this paper.
Huang Chen, Fei Jiyou, Liu Xiaodong
doaj   +1 more source

Development of a Robust Multi-Scale Featured Local Binary Pattern for Improved Facial Expression Recognition

Sensors, 2020
Compelling facial expression recognition (FER) processes have been utilized in very successful fields like computer vision, robotics, artificial intelligence, and dynamic texture recognition.
Suraiya Yasmin, Refat Khan Pathan, Munmun Biswas, Mayeen Uddin Khandaker, Mohammad Rashed Iqbal Faruque   +4 more
doaj   +1 more source

Improvement of Remote Sensing Image Classification Method Based on Sparse Representation [PDF]

Jisuanji gongcheng, 2016
Owing to the traditional Sparse Representation-based Classification(SRC) algorithm can not extract image texture information comprehensively,the result of classification is not high.In order to solve this problem,the Local Binary Pattern(LBP) feature is ...
TANG Xiaoqing,LIU Yazhou,CHEN Junlong
doaj   +1 more source

Machine Learning Detection of Scarring Events in Killer Whales

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Detection and analysis of body scars using photo‐identification data of cetaceans can provide insights into life history, behavior, and exposure to threats, but such analyses typically require manual examination of large image datasets. To explore whether machine learning can assist this process, we developed a pipeline for automatically ...
Alexander Barnhill, Jared R. Towers, Celine van Weelden, Tim Rörup, Elmar Nöth, Andreas Maier, Christian Bergler   +6 more
wiley   +1 more source

Teknik Pengenalan Ruas Jari Berbasis Fitur Local Binary Pattern (LBP) Dan Support Vector Machine (SVM) [PDF]

, 2013
ABSTRAKSI: Identifikasi pengenalan individu yang sudah banyak beredar sekarang ini yaitu menggunakan password dan kartu. Seiring dengan kemajuan teknologi, kedua teknik identifikasi tersebut semakin memperlihatkan kelemahan dalam penggunaannya. Maka dari
Dimas Biwasputr
core  

Completed local binary pattern based speech anti-spoofing

Dianxin kexue, 2021
In view of the fact that the disguised speech detection algorithm based on local binary pattern (LBP) is not effective in detecting the spoofing attack from voice conversion, an anti-spoofing method based on completed local binary pattern (CLBP) was ...
Jian XU, Zhihua JIAN, Jiaqi YU, Yifan JIN, Lin YOU, Yunlu WANG   +5 more
doaj   +2 more sources

A New Laws Filtered Local Binary Pattern Texture Descriptor for Ultrasound Kidney Images Retrieval

Applied Medical Informatics, 2014
Content Based Image Retrieval (CBIR) is an inevitable technique in medical applications. One of the important tasks in CBIR is the feature extraction process.
Chelladurai CALLINS CHRISTIYANA, Vayanaperumal RAJAMANI   +1 more
doaj  

Objects Tracking in Images Sequence using Local Binary Pattern (LBP)

International Journal of Computer Applications, 2013
this paper we present a method for objects tracking in images sequence. This approach is achieved into two main steps. In the first one, we constructed the Local Binary Pattern (LBP) histogram pattern of each image in the sequence and the reference pattern. In the second one, we perform the algorithm by the pattern selected based on a distance measures
Lh. Masmoudi, M. Hamri, H. Rami
openaire   +1 more source