2022
DOI: 10.31436/iiumej.v23i1.1802
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Color Image Retrieval Based on Fuzzy Neural Network and Swarm Intelligence Techniques

Abstract: Image retrieval is an important system for retrieving similar images by searching and browsing in a large database. The image retrieval system can be a reliable tool for people to optimize the use of image accumulation, and finding efficient methods to retrieve images is very important. Recent decades have marked increased research interest in field image retrieval. To retrieve the images, an important set of features is used. In this work, a combination of methods was used to examine all the images and detect… Show more

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Cited by 3 publications
(4 citation statements)
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“…Image Retrieval merupakan sistem penting untuk mengambil gambar serupa dengan melakukan pencarian dan penjelajahan di dalam basis data besar. Image Retrieval dapat menjadi alat yang dapat diandalkan untuk mengoptimalkan penggunaan akumulasi gambar, dan menemukan metode yang efisien untuk mengambil gambar [14].…”
Section: Pengumpulan Datasetunclassified
“…Image Retrieval merupakan sistem penting untuk mengambil gambar serupa dengan melakukan pencarian dan penjelajahan di dalam basis data besar. Image Retrieval dapat menjadi alat yang dapat diandalkan untuk mengoptimalkan penggunaan akumulasi gambar, dan menemukan metode yang efisien untuk mengambil gambar [14].…”
Section: Pengumpulan Datasetunclassified
“…It was originally created as an association or organization of computational methodologies that harness endurance energy to achieve docileness, robustness, lower cost of finding solutions, and a relationship more in line with reality. Soft computing includes the following main parts: fuzzy logics, neuro computing, evolutionary computing, probabilistic computing, and swarm intelligence [25]. The reason for the success of soft computing is the collaboration and synergies that derive from its components.…”
Section: Artificial Intelligence Techniquesmentioning
confidence: 99%
“…The idea of fuzzy groups and fuzzy logic was put forward by the Azerbaijani scientist Zadeh [15], who developed a linguistic method for dealing with ambiguous linguistic information based on fuzzy groups and fuzzy logic. Since then, this method has been used in practical applications in various fields, including medical, industrial, engineering, meteorological sciences, digital image processing, business administration, computer science, expert systems and others [25].…”
Section: Fuzzy Logicmentioning
confidence: 99%
“…One branch of artificial intelligence is swarm intelligence, which simulates the natural behavior of fireflies, bees, fish, and ants [5,6]. Swarm intelligence algorithms based on the basic principles of artificial intelligence (AI) and neural networks are mostly used in many fields such as image processing, identification, pattern recognition, classification, speech, and control systems [7][8][9][10]. The firefly algorithm depends on the intelligence of the swarm and has two important features, first: fireflies are characterized by automatic division and their ability to deal with multimedia, as fireflies depend on attractiveness, which is affected by distance.…”
Section: Introductionmentioning
confidence: 99%