Informatics Publishing Limited

Bikesh Kumar Singh ¹, G. R. Sinha ², Bidyut Mazumdar ³

Affiliations
1 Department of Biomedical Engineering, National Institute of Technology, Raipur (C.G)
2 Department of Information Technology, Shri Shankaracharya College of Engineering & Technology, Bhilai (C.G), IN
3 Department of Biomedical Engineering, National Institute of Technology, Raipur (C.G), IN

Abstract

There is rapid increase in image databases of remote sensing images due to image satellites with high resolution, commercial applications of remote sensing & high available bandwidth in last few years. The problem of content-based image retrieval (CBIR) of remotely sensed images presents a major challenge not only because of the surprisingly increasing volume of images acquired from a wide range of sensors but also because of the complexity of images themselves. In this paper, a software system for content-based retrieval of remote sensing images using RGB and HSV color spaces is presented. Further, we also compare our results with spatiogram based content retrieval which integrates spatial information along with color histogram. Experimental results show that the integration of spatial information in color improves the image analysis of remote sensing data. In general, retrievals in HSV color space showed better performance than in RGB color space.

Keywords

Content Based Image Retrieval, RGB, HSV, Spatiograms.

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Anil Kumar Sahu ¹, Vivek Kumar Chandra ², G. R. Sinha ³

Affiliations
1 Department of ETC, Shri Shankaracharaya Technical Campus (SSTC), Bhilai, IN
2 Department of EEE, Chhatrapati Shivaji Institute of Technology, Durg, IN
3 International Institute of Information Technology (IIIT), Bangalore, IN

Abstract

This paper demonstrates a possibility to realize a simulation of testing strategy of high-resolution Sigma-Delta modulator using MATLAB SIMULINK tool environment. Stimuli are applied  into the design under test  and extract the important static and transmission parameters by means of the response analyzer. There are so many types of stimulus which have different types of properties. Therefore, the test stimuli generator is a key building block in BIST methodology and must be high quality, flexible and easy to realize.Output Response Analyzer (ORA) is most important component in Built-In-Self-Test (BIST) architecture of CT sigma delta ADC. There are many techniques of ORA used for determining performance matrix parameter such as integral non-linearity, differential non-linearity and Signal-to-Noise Ratio (SNR).In this paper suggests CORDIC technique as ORA and it’s modelling and simulation has been implemented on MATLAB simulink tool environment. The COrdinate Rotation Digital Computer (CORDIC) logic is used  to reduces the design complexity of circuit.

Keywords

CT Sigma-Delta ADC Structrure, Test Stimuli Generator, Cordinate Rotation Digital Computer (CORDIC) Logic for ORA, Built-In-Self-Test for CT ADC.

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G. R. Sinha ¹, Kavita Thakur ²

Affiliations
1 Department of Electronics & Telecom, Chhattisgarh Institute of Technology, Rajnandgaon, IN
2 Pt. Ravishankar Shukla University, Raipur, IN

Abstract

Images from an ordinary digital camera or scanner convey information at a wide range of spatial scales and enable the viewer to decompose the image into uniform regions that are some way to recognize familiar images, determine spatial relationships between images, and detect abnormalities. Medical image analysis poses a great challenge as the need for image filtering, because medical images have a poor SNR than scenes taken with a digital camera; the spatial resolution is often frustratingly low, the contrast between anatomically distinct structure is often too low to be computed reliably using a standard image processing technique. It is interesting to note that a great deal of image filtering takes place at what is usually regarded as a "pre-processing" stage in the formation of a medical image and is relatively invisible to a radiologist. However, there is an increasing awareness of the impact of post processing algorithms particularly filtering in diagnostic applications and an awareness of these types of techniques is useful. The present paper deals with a set of filtering" operations which enable the user to improve the image such as image smoothing of ultrasonic or x-ray images that removes noise at high frequencies, sharpening that increases high frequency content, contrast stretching etc. Such image filtering is designed to improve the appearance of an image, relying on the human visual system to disregard any unwanted change of content of the image. The filtering process facilitates the detection of suspicious and inhomogeneous areas thus improving the diagnostic confidence.

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Onkar Dixit ¹, G. R. Sinha ¹, Kavita Thakur ²

Affiliations
1 Chhattisgarh Institute of Technology, Rajnandgaon, IN
2 Pt. R.S.U., Raipur, IN

Abstract

This paper presents an effective approach to the detection of small objects by employing frequency transformation method. In this work, moving objects with small size and low contrast are first detected from an image sequence which was captured from an image from the database. The proposed detection system includes two main modules, region of interest locating and contour extraction. A novel neighboring encoding technique along with the image differencing technique is devised here to effectively reduce noise which usually affects the performance of detection results, especially for small objects. Next, we find the bounded rectangles enclosing the denoised images, which in turn generate region of interest. Experimental results validate that the proposed approach is indeed feasible and effective in detecting objects with small size and low contrast.

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