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mohali, india
It's currently 8:59 PM here
Joined July 23, 2019
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Vikas Kumar G.
@vikaskumargoel
2.8
2.8
100%
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mohali, india
33%
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Professional in Embedded C/C++, Matlab and Python
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$45.00 USD
C Programming
Engineering
Matlab and Mathematica
Algorithm
Electrical Engineering
•
₹200.00 INR
Scientific Research
Imaging
Physics
Signal Processing
+1 more
•
Experience
Sr. Manager - R&D
Jan 2018 - Present
Embedded C/C++, MATLAB, Python, Digital Signal Processing, Digital Image Processing
Education
M.Tech. Instrumentation
(2 years)
M.Sc. Instrumentation
(2 years)
Qualifications
Quality System NABL - 101 for Laboratories
Indian Institute of Quality Management, Jaipur, INDIA
1999
Quality Management System, ISO 9000, ISO 13485 for medical devices
Publications
Extraction of Centre of Mass of a Binary Pattern using Matlab
Electronics For You, July 2017
Extraction of centre of mass of a binary pattern is an important task in pattern recognition area in digital image processing domain. The centre of mass of a binary pattern is computed using the first order moments of the pattern pixel’s Cartesian Coordinates. For all, very firstly the pattern is converted to a binary class i.e. pattern as in black on a white color background or vice versa. Black and white colors are attributed as 0 and 1 respectively (binary form) in digital image processing.
Radial Vectored Features for Pattern Enveloping and Retrieval
Journal of Optoelectronics And Advanced Materials
Radial vectored features are presented to draw an envelope of the pattern under test and its retrieval. Enveloping a given pattern is an important activity while tracking a moving object. The ordered radial profile is used to draw the envelope of the pattern, while the sorted radial profile is used to identify/recognize/categorize the pattern under test. The radial profile is computed around the centre of mass of the binary pattern.
Statistical Optimization of Radial Vectors for Pattern Reconstruction/Retrieval
International Conference on Computational Intelligence and Communication Technology-2017
The vector size may be optimized in order to reconstruct the pattern of the quality as in an ideal case. In the presented work, the radial vector size is optimized using the statistical analysis of radii profile based on standard deviation, area and perimeter. The reconstructed pattern is approximated to its maximum towards the original pattern by maintain the standard deviation, area and perimeter.
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