A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Shalini, V. K.
- Content-Based Image Retrieval by the Extraction of Color and Shape Features
Authors
1 Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, IN
Source
Digital Image Processing, Vol 10, No 4 (2018), Pagination: 68-71Abstract
Content-Based Image Retrieval (CBIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. Due to enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. The basis of presenting this paper is the retrieval of images based on the color and shape components with SURF descriptors in the query images. The proposed CBIR system, extracts color features using HSV color model and shape features using shape components. The performance of the retrieval system has been analyzed by Precision and Recall. Practical implementations of the above techniques are done using MATLAB. The efficiency of the proposed image retrieval techniques is tested using Caltech-101 image database.
Keywords
Content Based Image Retrieval, Color, Shape, SURF etc.
References
- Abdolraheem Khader Alhassan and Ali Ahmed Alfaki, (2017) ’Color and Texture Fusion-Based Method for Content-Based Image Retrieval’, International Conference and Communication, Control and Electronics Engineering.
- Muhammad Fachrurrozi, Erwin et al., (2017) ‘Multi-Object Face Recognition using Content Based Image Retrieval(CBIR)’,International Conference on Electronics and Computer Science, pp193-197.
- Shiraaz Saad,Harendra Kumar et al., (2017) ‘Efficient content Based Image Retrieval using SVM and Color Histogram’, Tenth International Conference on Contemporary Computing (IC3).
- Kaouther Zerki,Amel Frissa Touz et al., (2017) ‘A Comparative Study of Texture Descriptor Analysis for Improving Content Based Image Retrieval’, ICCAD-17,Hammamet-Tunisia,pp247-253.
- Chaitanya Vijaykumar Mahamuni and Neha Balasaheb Wagh, (2017) ‘Study of CBIR Methods for Retrieval of Digital Images based on Color and Texture Extraction’, International Conference on Computer Communication and Informatics (ICCCI).
- Energy Saving Outdoor Light Screening and Management System
Authors
1 Electrical Engineering Communication, Karur, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 11, No 17 (2018), Pagination:Abstract
Objectives: Energy saving outdoor screening and management system is used to screen and handle open air lamps all the more proficiently when contrasted with the regular systems. The proposed system is to meet this objective with effective manner. Methods/Statistical Analysis: Sensors and Peripheral Interface Controller (PIC) microcontrollers are used to sense the lamp performance and control all the lamb unit respectively. Wireless network method is used to monitor the unit which is done by utilizes the ZigBee-supported remote gadgets which permit more effective lights administration. Microcontroller unit used to control each lamp network installed for the project. We propose an energy effective ZigBeesupported outside light observing system. Findings: To acknowledge adequacy of the suggested framework, the model has been introduced inside the college, where the trial comes about demonstrating that the proposed framework spares around 70.8% vitality for the open air road condition in light of utilizing sensors, LED lights, and ZigBee supported correspondence organize. From our demonstration we can find that power consumption is greatly reduced from former experiment which is done by using metal halide lamp. This setup uses LED lamp to reduce power usage by nearly 900KW per hour compare to existing setup. Application/Improvements: This can be improved by using advanced MC unit and other lighting methods.Keywords
Energy Efficiency, LED Light Setup, Light Monitoring System, PIC MC Unit, Power Consumption, , ZigBee NetworkFull Text
