TAILIEUCHUNG - Construct smartphone application to produce photo mosaic using client server model

The results showed that the best performance of the proposed application was through using k-means clustering and the pattern recognition neural network which merged with the K-means clustering using statistical extracted color features of image histogram with tiles size (16 × 16) pixels. The average time required to produce a mosaic photo with correcting colors was (26 seconds) and the mean of peak signal to noise ratio was (). | International Journal of Computer Networks and Communications Security VOL. 5, NO. 3, MARCH 2017, 66–70 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Construct Smartphone Application to Produce Photo-Mosaic Using Client-Server Model Mohammed Yahya Ahmed1 and Dr. Alaa Yaseen Taqa2 1 Computer Science Dept. College of Computer Science and mathematics Iraq, Mosul, Mosul University 2 Computer Science Dept. college of education for pure science Iraq, Mosul, Mosul University 1 a1mya8878@, ABSTRACT A smartphone is a cellular telephone with an advanced mobile operating system , that combines a cell phone with a handheld computer, typically offering Internet access, data storage, email capability, etc. Photo mosaic is an image composed of a large number of one-size images. In this paper it has been proposed an application to generate photo mosaic on smartphones run with the Android operating system using (Client-Server Model). This application considered an entertaining, servicing, scientific application. The proposed application works to generate photo mosaic based on (CBIR) content based image retrieval (color features). The images are retrieving from the database to generate photo mosaic based on two methods: K-means clustering and the Patterns recognition network. The results showed that the best performance of the proposed application was through using k-means clustering and the pattern recognition neural network which merged with the K-means clustering using statistical extracted color features of image histogram with tiles size (16 × 16) pixels. The average time required to produce a mosaic photo with correcting colors was (26 seconds) and the mean of peak signal to noise ratio was (). Keywords: Smartphone, Photo-Mosaic, Client-Server Model, CBIR, Color Correction. 1 INTRODUCTION In the past few years the mobile device and mobile services markets have been affected by a strong .

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