Informatics Publishing Limited

L. Mredhula ¹, M. A. Dorairangaswamy ²

Affiliations
1 Department of CSE, Sathyabama University, Chennai - 600119, Tamil Nadu, IN
2 Department of CSE, AVIT, Chennai - 603104, Tamil Nadu, IN

Abstract

Image Fusion is a process of combining common features of a set of images to get an output image with superior content in terms of subjective as well as objective analysis point of view. Main aim of this work is to present a review on some of the Image Fusion Techniques. A comparison of all techniques are done fusing MRI and CT images and analysis is conducted using various quality measures such as entropy, MSE, PSNR, SSIM and BRISQUE. CT modalities provide information on denser tissues whereas MRI provides information on soft tissues. For medical applications CT and MRI images are fused for diagnostic purposes.

Keywords

DWT, HIS, Image Fusion, Medical Diagnosis, PCA, Performance Evaluation

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L. Mredhula ¹, M. A. Dorairangaswamy ²

Affiliations
1 Department of CSE, Sathyabama University, Chennai, Tamil Nadu, IN
2 Department of CSE, AVIT, Chennai, Tamil Nadu, IN

Abstract

Image Fusion is a process of combining common features of a set of images to get a output image with superior content in terms of subjective as well as objective analysis point of view. Main aim of this work is to present a review on some of the image fusion Techniques. A Comparison of all techniques are done fusing MRI and CT images and analysis is condudcted using various quality measures such as entropy, MSE, PSNR, SSIM, and BRISQUE. CT modalities provide information on denser tissues whereas MRI provides information on soft tissues. For medical applications CT and MRI images are fused for diagnostic purposes.

Keywords

Image Fusion, Medical diagnosis, DWT, PCA, IHS, Performance Evaluation.

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K. Jayasakthi Velmurugan ¹, M. A. Dorairangaswamy ²

Affiliations
1 Sathyabama University, Chennai, IN
2 Department of CSE, AVIT, Paiyannor, IN

Abstract

I propose a whole architecture for Tamil to English translation of the texts present on JPEG natural scene images taken with a mobile phone camera. I detect the text using the frequency information of the DCT coefficients, binarize it using a clustering-based algorithm, recognize it by the use of an OCR algorithm and translate and phonetically transcribe it from Tamil to English. The result is a useful, simple, affordable and robust system that can handle problems like lighting distortion, out of focus, low resolution and foreground-background color variations in a very short amount of processing time, which makes its implementation very attractive on portable devices.

Keywords

Text Detection, Text Binarization, Recognition, Signboard Image.

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S. Venkatesh ¹, M. A. Dorairangaswamy ², T. A. Sampathkumar ³

Affiliations
1 Sathyabama University, Chennai, IN
2 CSE Dept., AVIT, Chennai, IN
3 Kotak Mahindra, IN

Abstract

This paper proposes a method of identifying character-like regions in order to extract and recognize characters in natural color scene images automatically. After connected component extraction based on multi-group decomposition scheme, alignment analysis is used to check the block candidates, namely, the character-like regions in each binary image layer and the final composed image. Priority adaptive segmentation (PAS) is implemented to obtain accurate foreground pixels of the character in each block. Then some heuristic meanings such as statistical features, recognition confidence, and alignment properties, are employed to justify the segmented characters. The algorithms are robust for a wide range of character fonts, shooting conditions, and color backgrounds. Results of our experiments are promising for real applications.

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S. Venkatesh ¹, M. A. Dorairangaswamy ², T. A. Sampath Kumar ³

Affiliations
1 Sathyabama University, Chennai, IN
2 CSE Dept, AVIT, Chennai, IN
3 Kotak Mahindra, IN

Abstract

This paper proposes a method of identifying character-like regions in order to extract and recognize characters in natural color scene images automatically. After connected component extraction based on multi-group decomposition scheme, alignment analysis is used to check the block candidates, namely, the character-like regions in each binary image layer and the final composed image. Priority adaptive segmentation (PAS) is implemented to obtain accurate foreground pixels of the character in each block. Then some heuristic meanings such as statistical features, recognition confidence, and alignment properties, are employed to justify the segmented characters. The algorithms are robust for a wide range of character fonts, shooting conditions, and color backgrounds. Results of our experiments are promising for real applications.

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K . Dharmarajan ¹, M. A. Dorairangaswamy ²

Affiliations
1 Department of Information Technology, Vels University, Chennai - 600117, Tamil Nadu, IN
2 St. Peter's University, Chennai - 600054, Tamil Nadu, IN

Abstract

Objective: This article tries to discover the hidden knowledge and identifying user behavior on the web by using the web data sources. With the help of this knowledge, the overall performance of future accesses, the typical browsing behavior of a user and subsequently to predict desired pages, a user wants to access in future. Methods/Statistical Analysis: The user pattern is analyzed by using the modified Web Log Expert tool from the web access log file collected from the organization. This modified tool tries to conduct a web mining in a domain independent manner. This algorithm consists of three parts: 1. Given an input entity, extracting a set of IP addresses and visor lists and then ranking them according to comparability, 2. Extracting the domains in which the given entity takes part and 3. Identifying and summarizing the competitive evidence that details the organization’s strength. Findings: The main aim of the research work is extracting of user frequent access page using web log data, which is based on user session time, IP addresses, browser details, operating system, top user. This complete analysis work has been implemented in the Web Log Expert tool. The experimental results provide an easier way to navigate the website and improve the website design architecture. This work deliberates the detailed results of a website in a specific education domain application. We investigate the statistics of hourly based, daily based, week and monthly based report of the web usage patterns. The goal is to capture, model and analyze the behavioral patterns and profiles of users interacting with a website. The knowledge about users and their behavior on the web helps the organization benefits and leads directly to profit increase.

Keywords

Frequent Patten, Session Identification, User Behavior, Web Usage Mining

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