Evaluation of Images Using Various Distance Metrics
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 1
Abstract
Due to the digitization of data and advances in technology, it has become extremely easy to Obtain and store large quantities of data, particularly Multimedia data. Image data plays vital role in every aspect of the systems like business for marketing, hospital for surgery, engineering for construction, Web for publication and so on. Fields ranging from Commercial to Military need to analyze these data in an efficient and fast manner. The need for image mining is high in view of such fast growing amounts of image data. Similarity and dissimilarity measures referred to as measures of proximity. Computing similarity measures are required in many data mining tasks. Categorical data, unlike numeric data, conceptually is deficient of default ordering relations on the attribute values. Devise distance metrics in data mining tasks for categorical data more challenging. Efficient extraction of low level features like color, texture and shapes for indexing and fast query image matching with indexed images for the retrieval of similar images by content . Features are extracted from images in pixel and compressed domains. The feature extraction and similarity measures are the two key parameters for retrieval performance. A similarity measure plays an important role in image retrieval. This paper compares different distance metrics such as Euclidean, Manhattan,Chebyshev, Canberra distances to find the best similarity measure for clustering the images.
Authors and Affiliations
Venkataramana Battula, Saritha Ambati
Keywords
Related Articles
- EP ID EP393654
- DOI 10.9790/9622-0801052934.
- Views 95
- Downloads 0
The Influences of Structural Feature and Surface Properties of Montmorillonite on the Supported Olefin Polymerization Catalysts
Clay minerals possess unique physical properties such as high Lewis acidity, high specific surface area, periodic layer structures, and these materials can be utilized as polyolefin catalysts supports. This work focused...
Modeling and Analysis of Transformer Inrush current using ANFIS
This paper presents a new technique for modeling of transformer inrush current using adaptive neuro-fuzzy inference system (ANFIS) as a type of soft computing (SC) techniques. AMATLAB/Simulink simulation of the three pha...
An Improved Personal Security System
In current period an enormous rise in crime against women can be observed and along with women even children, old age people are also suffering with inhuman activities as kidnapping. Women feel insecure roaming around th...
Existence and Uniqueness of the solutions to Stochastic Neutral Functional Differential Equations Using Fractional Brownian motion with Non-Lipschitz Coefficients
In this paper we investigate the existence and uniqueness of mild solutions to neutral stochastic functional differential equations driven by a Brownian motion in a Hilbert space with non-Lipschitzian coefficients. The r...
Indoor Mall Navigation
Big shopping malls usually provide a directory to their available shops, but these directories are most of the time static and do not provide any interactivity features to the visitors. In this work, we present a mobile...