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Dive into the research topics where Brijesh Shah is active.

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Featured researches published by Brijesh Shah.


international conference on communication systems and network technologies | 2012

Analysis of Multiband Behaviour on Square Patch Fractal Antenna

Piyush Dalsania; Brijesh Shah; Trushit Upadhyaya; Ved Vyas Dwivedi

This paper on fractal antenna design exhibits details of fractal geometries developed to get multi band behavior of patch resonator antenna. Research on the performance of the fractal perimeter and fractal area alterations of patch antenna are presented. The behavior of patch resonator for various incremental steps in fractions, results in considerable rise in number of resonant working frequencies with improved bandwidth. The presented antennas multi band nature is design for Aeronautical radio navigation at 2.7-2.9 GHz and Aeronautical/Maritime radio navigation 9.0-9.3 GHz with captured downlink data of fixed/mobile satellite in S band and C band.


ieee international conference on image information processing | 2011

A seeded region growing algorithm for spot detection in medical image segmentation

Brijesh Shah; Satish K. Shah; Y. P. Kosta

The novel and robust seeded region grow segmentation technique is implemented for spot detection in Computerized Tomography scan image. Segmentation of scanned medical image is quite difficult task due to presence of speckle noise. The grey scale image is segmented into regions, with each region having closest seed correlation. The algorithm is rapid, free of tuning parameters and pixel order dependent. Experimental performance evaluation through manual seed selection demonstrates accurate and efficient segmentation results for chest scan image.


Iete Journal of Research | 2011

FPGA Implementation of Image Compression Algorithm Using Bottom-up Approach of Quad Tree Technique

Satish K. Shah; Rakesh K. Soni; Brijesh Shah

Abstract This paper presents an optimal technique for image compression by which one can achieve maximal storage and transmission capabilities. Realizing image compression hardware into a Field Programmable Gate Array (FPGA) reduces the implementation cost as well as the prototyping and design time cycle. Aggressive algorithm to architecture mapping of a Quad Tree based image compression method produces a fast, compact pipelined design. Mapped into a Xilinx Spartan II, XC200S-5PQ208 FPGA, this design utilizes as much as half the resources that other algorithms such as Discrete Cosine Transform and Wavelet Transform use. Performance of this implementation exceeds those of similar and or greater resource size, and allows for real-time image compression of an image up to 256 pixels by 256 pixels at 256 levels of gray. It is found that the algorithm provides a high compression ratio ranging between 0.12 and 0.68.


Archive | 2018

CMOS Image Sensor Parameter Configuration Using LabVIEW

Dhvani R. Patel; Brijesh Shah; Karan Jasani

Imaging identifiers (detectors) are the main components of optical equipment and space missions that have sensors placed on board committed to Earth perception (high-determination imaging, environment spectroscopy, etc.), solar system investigation (small-scale cameras, direction for self-governing vehicle, etc.) and universe perception (space telescope central planes, controlling sensors, etc.). UART–SPI interface is used for configuring the different parameters of image sensor which includes inserting the training pattern to sync LVDS (low-voltage differential signalling) receivers, setting the offset at the input of the ADC, inserting a pattern to generate a test pattern, enabling sequencer for image capture, image type selection settings like monochrome/grey image or colour image and many more. The image sensor has a number of LVDS high-speed outputs that transfer image data over longer distances. A special training mode enables the receiving system to synchronize the incoming data stream when switching to master, slave or triggered mode. A programmable offset and gain amplifier for each channel also is integrated by the image sensor. It requires only one master clock for operation up to 500 fps. The sensor is available in a monochrome version or Bayer (RGB)-patterned colour filter array.


international conference on communication and signal processing | 2016

Design of liquid crystal polymer based flexible dual-band microstrip patch antenna

Dipal Sindha; Falguni Raval; Brijesh Shah

A dual band microstrip patch antenna is designed using liquid crystal polymer (LCP) as substrate material is presented in this paper. The design of microstrip patch antenna with and without complementary split ring resonator (CSRR) is present for comparison sake. The Microstrip patch antenna without complementary split ring resonator resonates at 5.5GHz. The dual band Microstrip patch antenna resonates at 2.13GHz and 5.4GHz. The new band achieved with help of complementary split ring resonator. Liquid crystal polymer is used as substrate of both antennas.


international conference on communications | 2015

Design and performance analysis of 1GHz edge coupled microstrip bandpass filter

Khyati Patel; Brijesh Shah; Vipul Dabhi

This paper discusses an edge coupled microstrip filter centered at 1 GHz having 200 MHz bandwidth. The dielectric material used for the fabrication of the filter is FR4.It is having dielectric constant εr of 4.4.The CST software is used for simulation of designed microstrip bandpass filter. The insertion loss acquired is above -2dB and return loss acquired is below 15 dB. The results which is received are very useful for the L band.


International journal of engineering research and technology | 2012

Improved fuzzy c-mean algorithm for Medical Image segmentation

Piyush Valvi; Vineetkumar Patel; Brijesh Shah; Satish K. Shah


Archive | 2012

Novel Improved Fuzzy C-Mean Algorithm for MR-Image Segmentation

Brijesh Shah; Satish K. Shah; Y. P. Kosta


Indian journal of science and technology | 2017

Statistically Inhomogeneity Correction and Image Segmentation using Active Contours

Brijesh Shah; Jaymin K. Bhalani


Digital Image Processing | 2013

Image Restoration Techniques: A Novel Approach using an Iterative Procedure using an Iterative Procedure

Pragneshkumar Patel; Brijesh Shah

Collaboration


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Satish K. Shah

Maharaja Sayajirao University of Baroda

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Khyati Patel

Charotar University of Science and Technology

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Dhvani R. Patel

Charotar University of Science and Technology

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Dipal Sindha

Charotar University of Science and Technology

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Falguni Raval

Charotar University of Science and Technology

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Karan Jasani

Charotar University of Science and Technology

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Piyush Dalsania

Charotar University of Science and Technology

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Trushit Upadhyaya

Charotar University of Science and Technology

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