Analysis of image understanding using clustering under the approach of ant Colony
DOI:
https://doi.org/10.15381/idata.v16i2.11929Keywords:
digital image, bits map, image compression, clustering, ant colony algorithmsAbstract
The following research paper presents a solution to the problem of high cost of digital storage of images used in various fields such as engineering, medicine, education, architecture, management, entertainment, etc. The solution is based on the implementation of a compression method used in image processing is that of clustering, in which the algorithm ant colony is used, in order to reduce the size of the color palette used to represent an image. This will reduce the storage size of the image without affecting the display of the same by the person.
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Copyright (c) 2013 María Elena Ruiz Rivera, Juan Eduardo Yarasca Carranza, Edgar Ruiz Lizama
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).
