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Kumar, Ravinder
- Color Reduction in RGB based on Bacteria Foraging Optimization
Abstract Views :172 |
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Authors
Affiliations
1 DeparmentofECE, Manav Institute of Engineering and Technology, Jevra, Hisar, Haryana, IN
2 Deparment of ECE, Manav Institute of Engineering and Technology, Jevra, Hisar, Haryana, IN
1 DeparmentofECE, Manav Institute of Engineering and Technology, Jevra, Hisar, Haryana, IN
2 Deparment of ECE, Manav Institute of Engineering and Technology, Jevra, Hisar, Haryana, IN
Source
International Journal of Science, Engineering and Computer Technology, Vol 5, No 2 (2015), Pagination: 87-90Abstract
RGB is called the additive model in which each color appear as the combination of primary colors; red, green and blue. The RGB color model is additive in the sense that the three light beams are added together, and their light spectra add, wavelength for wavelength, to make the final color's spectrum. To generate any color within the RGB color cube, all three RGB components need to be of equal pixel depth and display resolution. Also, any modification of the image requires modification of all three planes. Black color is the resultant of zero intensity for each component and full intensity for each component gives white. When the intensities for all the components are the same, the result is a shade of gray, darker or lighter depending on the intensity. When the intensities are different, the result is a colorized hue, more or less saturated depending on the difference of the strongest and weakest of the intensities of the primary colors employed. The present paper review the process of color reduction in RGBs based Bacteria Foraging Optimization.Keywords
Bacteria Foraging Optimization, Rgb Color Model.- Color Image Quantization: An Overview
Abstract Views :186 |
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Authors
Affiliations
1 Department of ECE, Manav Institute of Engineering and Technology, Jevra, Hisar, Haryana, IN
1 Department of ECE, Manav Institute of Engineering and Technology, Jevra, Hisar, Haryana, IN
Source
International Journal of Science, Engineering and Computer Technology, Vol 5, No 2 (2015), Pagination: 97-99Abstract
Color quantization is a process of reducing the number of colors in an image to a limited number of representative colors while keeping the perceived difference between an original image and its quantized image as low as possible. It is a key task in visual information processing. A digital image is usually described by a set of pixels. A true-type color image consists of more than 16 million different colors. It is easier to understand and process an image with a low number of colors. So it is needed for color quantization in transmission, compression, presentation, segmentation or retrieval of visual information. The present paper overview the process of color image quantization.Keywords
Color Image Quantization.- Study on Supplier Selection Practices for SCM in Indian Organizations
Abstract Views :205 |
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Authors
Affiliations
1 Amity University, Noida, Uttar Pradesh, IN
1 Amity University, Noida, Uttar Pradesh, IN
Source
International Journal of Science, Engineering and Computer Technology, Vol 8, No 1 (2018), Pagination: 12-14Abstract
Global competition has motivated all organizations to compete on modem parameters of quality, design, manufacturing techniques, distribution and information sharing. For improving the performance of the individual company and the supply chain as a whole it requires a combined effort of all members of supply chain. For effective and long-term relationship between all members of supply chain coordination is required. Supplier selection and development planning can give SCM a new edge of success. In the current study, author has used survey-based approach to study the supplier selection issues and their effect on the performance of Indian organization. The finding of this study revealed that supplier selection issues have significant impact on performance of Indian organizations.Keywords
Supplier Selection, Indian, SCM, Performance.- Study on Supply Chain Management Issues:Case Study of an Indian Fast Moving Electrical Goods Organization
Abstract Views :221 |
PDF Views:2
Authors
Affiliations
1 Amity University, Noida, Uttar Pradesh, IN
1 Amity University, Noida, Uttar Pradesh, IN