Results 111 to 120 of about 15,252 (157)

Morphological investigation of astrocyte brain cells using quantitative phase imaging. [PDF]

open access: yesBiomed Opt Express
Pal B   +5 more
europepmc   +1 more source

Smart Attendance Monitoring System Using Local Binary Pattern Histogram

Lecture Notes in Networks and Systems, 2021
Attendance marking of the students in a classroom is one of the most important activity carried out by the teachers to maintain the physical presence of students as well as for records. The traditional process of taking attendance of students is time consuming, error prone, and student can proxy. To eliminate or reduce these disadvantages, a new scheme
C. Meghana, M. Himaja, M. Rajesh
exaly   +2 more sources

Local Binary Pattern histogram based Texton learning for texture classification

2011 18th IEEE International Conference on Image Processing, 2011
Local Binary Pattern (LBP) and Texton are both widely used texture analysis techniques. In this paper we propose a patch-based texture classification method that takes advantage of both LBP and Texton. Unlike the traditional LBP methods that describe a texture with the occurrence of local binary patterns in the entire image, we compute the LBP ...
Rui Huang, Nong Sang
exaly   +2 more sources

Feature fusion using the Local Binary Pattern Histogram Fourier and the Pyramid Histogram of Feature fusion using the Local Binary Pattern Oriented Gradient in iris recognition

2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, 2021
Recently, more researchers have been interested in the fusion of many features of biometric modality. The real problems of the world are to find answers due to their assistance in finding solutions to a host of current real-world problems. Sufficient data is available in scheme that is easily accessible and can be put together into a feature vector.
Wafa El-Tarhouni   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy