Effective Method of Image Retrieval Using Markov Random Field with Hough Transform

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Mohana Sundari.L, Nivetha.R

Abstract

The emergence of multimedia technology and the rapidly expanding image collections on the database have attracted significant research efforts in providing tools for effective retrieval and management of visual data. The need to find a desired image from a large collection. Image retrieval is the field of study concerned with searching and retrieving digital image from a collection of database .In real images, regions are often homogenous; neighboring pixels usually have similar properties (shape, color, texture) Markov Random Field (MRF) is a probabilistic model which captures such contextual constraints. Hough Transform method is used for detecting lines in binary images. Spatially extended patterns are transformed to produce compact features in a parameter space. The main advantages of using the HT is, it treats each edge point independently this means that the parallel processing of all points is possible which is suitable for real-time applications.

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How to Cite
, M. S. N. “Effective Method of Image Retrieval Using Markov Random Field With Hough Transform”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 4, no. 11, Nov. 2016, pp. 299 -, doi:10.17762/ijritcc.v4i11.2651.
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