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Image Classification Using Multiscale Information Fusion Based on Aliency Driven Nonlinear Diffusion Filtering - IEEE Project 2014-2015

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  micans infotech  +91 90036 28940 +91 94435 11725  MICANS INFOTECH , NO: 8 , 100 FEET ROAD,PONDICHERRY .   WWW.MICANSINFOTECH.COM ; MICANSINFOTECH@GMAIL.COM   +91 90036 28940; +91 94435 11725   IEEE Projects 100% WORKING CODE + DOCUMENTATION+ EXPLAINATION  –  BEST PRICE   LOW PRICE GUARANTEED Image classification using multiscale information fusion based on saliency driven nonlinear diffusion filtering ABSTRACT: In this paper, we propose saliency driven image multiscale nonlinear diffusion filtering. The resulting scale space in general preserves or even enhances semantically important structures such as edges, lines, or flow-like structures in the foreground, and inhibits and smoothes clutter in the background. The image is classified using multi scale information fusion based on the srcinal image, the image at the final scale at which the diffusion process converges, and the image at a midscale. Our algorithm emphasizes the foreground features, which are important for image classification. The background image regions, whether considered as contexts of the foreground or noise to the foreground, can be globally handled by fusing information from different scales. Experimental tests of the effectiveness of the multi scale space for the image classification are conducted on the following publicly available datasets: 1) the PASCAL 2005dataset; 2) the Oxford 102 flowers dataset; and 3) the Oxford 17flowers dataset, with high classification rates.  micans infotech  +91 90036 28940 +91 94435 11725  MICANS INFOTECH , NO: 8 , 100 FEET ROAD,PONDICHERRY .   WWW.MICANSINFOTECH.COM ; MICANSINFOTECH@GMAIL.COM   +91 90036 28940; +91 94435 11725   IEEE Projects 100% WORKING CODE + DOCUMENTATION+ EXPLAINATION  –  BEST PRICE   LOW PRICE GUARANTEED EXISTING SYSTEM: In image classification, it is an important but difficult task to deal with the  background information. The background treated as noise; nevertheless, in some cases the background provides a context, which may increase the performance of image classification. Experimentally analyzed the influence of the background on image classification. They demonstrated that although the background may have correlations with the foreground objects, using both the background and foreground features for learning and recognition yields less accurate results than using the foreground features alone. Overall, the background information was not relevant to image classification. PROPOSED SYSTEM: We propose to classify images using the saliency driven multi-scale image representation. Images whose foregrounds are clearer than their backgrounds are more likely to be correctly classified at a large scale, and images whose  backgrounds are clearer are more likely to be correctly classified at a small scale. So, information from different scales can be used to acquire more accurate image classification results.  micans infotech  +91 90036 28940 +91 94435 11725  MICANS INFOTECH , NO: 8 , 100 FEET ROAD,PONDICHERRY .   WWW.MICANSINFOTECH.COM ; MICANSINFOTECH@GMAIL.COM   +91 90036 28940; +91 94435 11725   IEEE Projects 100% WORKING CODE + DOCUMENTATION+ EXPLAINATION  –  BEST PRICE   LOW PRICE GUARANTEED ADVANTAGE OF PROPOSED SYSTEM:     No other work which applies nonlinear diffusion filtering to image classification..    First, the nonlinear diffusion-based multi scale space can preserve or enhance semantically important image structures at large scales.    Second, our method can deal with the background information no matter whether it is a context or noise, and then can be adapted to  backgrounds which change over time.    Third, our method can partly handle cases in which the saliency map is incorrect, by including the srcinal image at scale 0 in the set of scaled images used for classification. HARDWARE REQUIREMENTS: ã   System : Pentium IV 2.4 GHz. ã   Hard Disk : 40 GB. ã   Floppy Drive : 1.44 Mb. ã   Monitor : 14’ Colour Monitor.   ã   Mouse : Optical Mouse. ã   Ram : 512 Mb.    micans infotech  +91 90036 28940 +91 94435 11725  MICANS INFOTECH , NO: 8 , 100 FEET ROAD,PONDICHERRY .   WWW.MICANSINFOTECH.COM ; MICANSINFOTECH@GMAIL.COM   +91 90036 28940; +91 94435 11725   IEEE Projects 100% WORKING CODE + DOCUMENTATION+ EXPLAINATION  –  BEST PRICE   LOW PRICE GUARANTEED SOFTWARE REQUIREMENTS: ã   Operating system : Windows 7. ã   Coding Language : ASP.Net with C# ã   Data Base : SQL Server 2008.  
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