Results 21 to 30 of about 15,252 (157)

Recognition of Facial Expressions using Local Mean Binary Pattern

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2017
In this paper, we propose a novel appearance based local feature extraction technique called Local Mean Binary Pattern (LMBP), which efficiently encodes the local texture and global shape of the face.
Mahesh M Goyani, Narendra Patel
doaj   +1 more source

MONITORING OF PRIVATE SPACE WITH THE LOCAL BINARY PATTERN HISTOGRAM ALGORITHM

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022
Abstract–The main goal of this project is to create an application for security purposes. Because of this, many individuals who may or may not know us are gaining access to our personal workspace. There are other difficulties, such as losing important papers and valuables.
openaire   +1 more source

Ensemble of Local Texture Descriptor for Accurate Breast Cancer Detection from Histopathologic Images

open access: yesJournal of Communications Software and Systems, 2023
Histopathological analysis is important for detection of the breast cancer (BC). Computer-aided diagnosis and detection systems are developed to assist the radiologist in the diagnosis process and to relieve the patient from unnecessary pain.
Naaman Omar
doaj   +1 more source

Sistem Pengenalan Wajah dengan Algoritma Haar Cascade dan Local Binary Pattern Histogram

open access: yesJurnal Rekayasa Elektrika, 2018
Recently, the applications of face recognition are increasing significantly. Some methods have already been tried, but the results have not optimal yet.
Sayeed Al-Aidid, Daniel Pamungkas
doaj   +1 more source

Circle Fitting Based Image Segmentation and Multi-Scale Block Local Binary Pattern Based Distinction of Ring Rot and Anthracnose on Apple Fruits

open access: yesFrontiers in Plant Science, 2022
Ring rot caused by Botryosphaeria dothidea and anthracnose caused by Colletotrichum gloeosporioides are two important apple fruit diseases. It is critical to conduct timely and accurate distinction and diagnosis of the two diseases for apple disease ...
Qin Feng   +4 more
doaj   +1 more source

Combination of LBP Bin and Histogram Selections for Color Texture Classification

open access: yesJournal of Imaging, 2020
LBP (Local Binary Pattern) is a very popular texture descriptor largely used in computer vision. In most applications, LBP histograms are exploited as texture features leading to a high dimensional feature space, especially for color texture ...
Alice Porebski   +3 more
doaj   +1 more source

Pengenalan Pola Huruf Hijaiyah dengan Metode Local Binary Pattern Menggunakan Algoritma Fuzzy K-Nearest Neighbor

open access: yesJISKA (Jurnal Informatika Sunan Kalijaga), 2022
A letter is a form, stroke, or symbol writing system. Any information obtained from a sentence depends on the letters are written clearly. Finding written hijaiyah letters can be recognized by humans, but will be difficult if a computer tries to ...
Asdar   +2 more
doaj   +1 more source

Combining Statistical Features and Local Pattern Features for Texture Image Retrieval

open access: yesIEEE Access, 2020
The complementary fusion of global and local features can effectively improve the performance of image retrieval. This article proposes a new local texture descriptor, combined with statistical modeling in transform domain for texture image retrieval ...
Hengbin Wang   +5 more
doaj   +1 more source

Compact descriptor for local feature using dominating centre‐symmetric local binary pattern

open access: yesIET Computer Vision, 2016
The authors propose a terse texture feature, called the dominant centre‐symmetric local binary pattern (DCSLBP), which has similar distinctiveness and half dimension compared against original centre‐symmetric local binary pattern (CS‐LBP).
Yingying Li   +3 more
doaj   +1 more source

Discriminative Binary Descriptor for Finger Vein Recognition

open access: yesIEEE Access, 2018
In this paper, we propose a new local discriminative feature learning method for finger vein recognition. Unlike most previous finger vein recognition methods, which use hand-crafted descriptors such as local binary pattern, local line binary pattern ...
Haiying Liu   +3 more
doaj   +1 more source

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