Comparison of Various Classifiers over Type I and Type II Diabetic Food Recognition System
Journal Title: GRD Journal for Engineering - Year 2016, Vol 1, Issue 6
Abstract
The inability to control the infection of diabetic people, computer-aided automatic food detection system has wedged more attention now days. The food image processing is the most gifted tool is used for food identification. The key point extraction’s Scale Invariant Feature Transform (SIFT) algorithm is used to extract the key points from food image, which is used for building visual dictionary of visual words based on color using k-means clustering algorithm. Features can be grouped into separate classes, namely class I and class II using multi-label Support Vector Machine (SVM) classifiers such as SVMlinear, SVMrbf, SVMexp, PARZEN WINDOW and K-Nearest Neighbor (KNN) to identify the input image belongs to which class. Class I have diabetic patient’s eatable food images and Class II have diabetic patient’s not eatable food images. GLCM use contrast, correlation, energy and homogeneity parameters to measure various calories from food image for diabetic patients. Finally measure and compare the recognition accuracy for various classifiers. The recognition accuracy for various classifiers is used to prove the feasibility of the approach in a very huge food image dataset. This project is about consciousness on food particularly for diabetic patients.
Authors and Affiliations
Anusha B, Ashin Leo A B
Keywords
Related Articles
- EP ID EP218836
- DOI -
- Views 94
- Downloads 0
Power Gating Techniques for Nano-Scale Devices
Power consumption is one of the major issues in CMOS technology. ITRS reports that leakage power may dominate the total power consumption. As technology feature size shrinks, the static power dominates the dynamic power...
Optimization of Primary Air Fan Impeller using Ansys
An effort has been made for optimizing the design of constant thickness forward curved bladed radial fan impeller into aerofoil shape forward curved bladed radial fan impeller by finite element analysis (FEA) for materia...
CFD Integrated Optimum Design and Prototyping of Shell and Tube Heat Exchanger
In present work, comparison of three different tube bundles for particular heat exchanger is proposed. Three types are smooth, micro finned and corrugated tubes. Heat exchanger will be designed with smooth tube bundle an...
Study on the Properties of Aerated Concrete Incorporating Fly Ash and Quarry Dust
The use of LWC (Lightweight concrete) has been a feature in the construction industry for centuries, but like other material the expectations of the performance have raised and now we are expecting a consistent, reliable...
The Internet of Things in Healthcare: A Survey
This paper discourses about the Internet of Things. In the Internet of Things (IOT), devices gather and share information directly with every other connected and the cloud, enabling it to record and analyze new data stre...