Image Prrocessing With LBP
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 2
Abstract
LBP is a simple yet effective pattern operator which recognizes pixels in pictures by thresholding every pixel's neighborhood as well as treating the result as a binary integers. Image classification is important in a range of computer applications because it divides pictures into sections based on information retrieved from the image. In the literature, several methods for extracting characteristics from photos have been presented. Patterns LBP is among the most often utilized approaches because to its computational simplicity. The authors present the LBP pixel methods in this article, which includes a variety of LBP as well as related publications. It preserves the bulk of the picture's essential visual elements due to its invariance to differences in light and its dependability in image classification. LBP also has the benefit of creating an 8-bit descriptor for every pixel as well as being sensitive to picture rotation. The main objective of this paper is that, it would be able to provide maximum accuracy in image Processing Technique. Image processing's future potential include exploring the sky for other sentient species in space.
Authors and Affiliations
Niharika Vikesh Agarwal, Payal Parekh
Keywords
Related Articles
- EP ID EP746711
- DOI 10.55524/ijircst.2022.10.2.98
- Views 42
- Downloads 0
Age-Dependent Changes of the EEG Data: Comparative Study of Correlation Dimension D2, Spectral Analysis, Peak Alpha Frequency and Stability of Rhythms
The aim of this study was to present new methods to explore the EEG dynamic changes during human development and aging and to assess its advantages. The electroencephalogram (EEG) was recorded from 19 scalp locations fro...
Stabilization of Black Cotton Soil by Using Waste Foundry Sand and Crushed Waste Glass
Generally Black Cotton Soil exhibits undesirable engineering properties like shrinkage and swelling properties losses its strength, when come in contact with water. Thereby poor bearing capacity and higher compressibilit...
Non-Linear Adaptive Temporal Compression of Satellite Images
Frequently collected multitemporal multispectral images mostly present strong temporal redundancies that can be exploited for data compression in temporal domain considering the fact that the user already has a previous...
Enhancing Laboratory Experience: A Combination of RFID and Machine Learning Techniques to Track Attendance and Upgrade Hardware
Practical subjects have grown in importance in student lives over time. Certain components may malfunction or not be suitable for the experiment being conducted. The RFID system facilitates the tracking of both student a...
Dynamic Modelling and Control Analysis of a Fuel Cell Connected to Electric Vehicle
A fuel cell electric vehicle (FCEV) is an electric vehicle that uses a fuel cell to power an electric motor. FCEV aims to provide customers with the benefits of battery electric vehicles such as low-to-zero emissions, hi...