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
Heat transfer and blood flow in Arterioles: A Mathematical study
Blood flow is a study of measuring of the blood pressure and finding the flow through the blood vessel. In human body the arterioles have the greatest collective influence on both local blood flow and on the over all blo...
Removal Of Inorganic Contaminants from Surface And Groundwater By Using NF/RO Filtration System
A comprehensive study was conducted to examine the removal of inorganic contaminantswhich exist in surface and groundwater in the Illawarra and Sydney regions. The ability of nanofiltration (NF) and reverse osmosis (RO)...
A Survey on Wormhole and Sinkhole Attack Detection and Prevention Techniques in Manet
Nowadays with the wide range of applications in wireless networks, there is an increasing need for security of these networks. Specifically, the Mobile Ad-hoc networks are very easy to vulnerable due to many security thr...
Hybrid T-I-D and Fuzzy Logic Based SVC Controller for Transient Stability Enhancement
This paper presents a new approach to solve the transient stability problem. The conventional PI based SVC controller has simple functioning and is economical in operation but has sluggish performance with non-linear cha...
Agricity- An Agricultural Information System
Agricity is a agricultural information system that provides its users and researches to get online information about, the crop, statistical details and provide products based on this information. The trends of the crops...