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One image is worth more than thousand words. Images if analyzed can reveal useful information. Low level image processing deals with the extraction of specific feature from a single image. Now the question arises: What technique should be used to extract patterns of very large and detailed image database? The answer of the question is: “Image Mining”. Image Mining deals with the extraction of image data relationship, implicit knowledge, and another pattern from the collection of images or image database. It is nothing but the extension of Data Mining. In the following paper, not only we are going to scrutinize the current techniques of image mining but also present a new technique for mining images using Genetic Algorithm., {"references":["Ji Zhang, Wynne Hsu, and Mong Li Lee, \"Image Mining: Trends and\nDevelopment\".","Carlos Ordonez and Edward Omiecinski, \"Image Mining: A New\nApproach for Data Mining\", 1998","R. Balakrishnan and U. Karthick Kumar, \"An Application of Genetic\nAlgorithm with Iterative Chromosomes for Image Clustering Problem\",\nIJCSI International Journal of Computer Science Issues, vol. 9, Issue 1,\nNo 1, January 2012","Nitin Gupta, Randhir Singh, Parveen Lehana, \"Texture Enhancement of\nPlants IR Images Using Genetic Algorithm\", October 2014 International\nJournal of Scientific and Research Publication, Vol.04 Issue 10 ISSN\n2250-3153.","Qin Ding and Jim Gasvoda \"A Genetic Algorithm for Clustering on\nImage Data\", International Journal of Information and Mathematical\nSciences 1:1 2005.","A. Demiriz, K. P. Bennett, and M. J. Embrechts, \"Semi-supervised\nclustering using genetic algorithms,\" R.P.I. Math Report No. 9901,\nRensselaer Polytechnic Institute, 1999.","Madhumathi.k, Dr.Antony Seladoss Thanamani, \"Image Mining:\nFramework and Techniques\", Proceedings on International Conf. on\nGlobal Innovations in Computing Technology, Vol. 2 Special Issue 1,\nMarch 2014.","W. DuMouchel, C. Volinsky, T. Johnson, C. Cortes, and D. Pregibon,\n\"Squashing flat files flatter,\" in Proceedings of the ACM SIGKDD\nConference on Knowledge Discovery and Data Mining, 1999, pp. 6-15.","Ishwar K. Sethi, Ioana L. Coman, Daniela Stan \"Mining Association\nRules between Low-level Image Features and High-level Concepts\"\n[10] Pradnya S.Borkar, Dr. A.R. Mahajan, \"Types and Application of parallel\nGenetic Algorithm\", International Journal of Advanced Research in\nComputer Science and Software Engineering, Vol. 4 Issue 4, April\n2014,ISSN 2277 128X.\n[11] Alexandre Xavier Falcao, Visual Informatics Laboratory Institute of\nComputing - University of Campinas, \"Image processing using graph\"."]}

An algorithm is a well-defined procedure that takes some input in the form of some values, processes them and gives the desired output. It forms the basis of many other algorithms such as searching, pattern matching, digital filters etc., and other applications have been found in database systems, data statistics and processing, data communications and pattern matching. This paper introduces algorithmic “Enhanced Bidirectional Selection” sort which is bidirectional, stable. It is said to be bidirectional as it selects two values smallest from the front and largest from the rear and assigns them to their appropriate locations thus reducing the number of passes by half the total number of elements as compared to selection sort.