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- research-articleSeptember 2021
Evaluation of quality measures for color quantization
Multimedia Tools and Applications (MTAA), Volume 80, Issue 21-23Pages 32975–33009https://doi.org/10.1007/s11042-021-11385-yAbstractThe visual quality evaluation is one of the fundamental challenging problems in image processing. It plays a central role in the shaping, implementation, optimization, and testing of many methods. The existing image quality assessment methods ...
- research-articleNovember 2018
Studying Effects of Color Quantization an Image Zooming
ICTCE '18: Proceedings of the 2nd International Conference on Telecommunications and Communication EngineeringPages 369–374https://doi.org/10.1145/3291842.3291855Color image quantization, a form of lossy image compression, is the process of reducing the number of unique colors in an image without appreciable reduction in quality. Originally color quantization was developed for satisfying hardware constraints of ...
- articleOctober 2017
A Novel Approach for Colorization of a Grayscale Image using Soft Computing Techniques
International Journal of Multimedia Data Engineering & Management (IJMDEM-IGI), Volume 8, Issue 4Pages 19–43https://doi.org/10.4018/IJMDEM.2017100102Colorization of grayscale image is a process to convert a grayscale image into a color one. Few research works reported in literature on this but there is hardly any generalized method that successfully colorizes all types of grayscale image. This study ...
- articleJuly 2017
Growing Neural Forest-Based Color Quantization Applied to RGB Images
International Journal of Computer Vision and Image Processing (IJCVIP-IGI), Volume 7, Issue 3Pages 13–25https://doi.org/10.4018/IJCVIP.2017070102Although last improvements in both physical storage technologies and image handling techniques have eased image managing processes, the large amount of information handled nowadays constantly demands more efficient ways to store and transmit image data ...
- articleJuly 2014
Color Image Quantization: A Short Review and an Application with Artificial Bee Colony Algorithm
Color quantization is the process of reducing the number of colors in a digital image. The main objective of quantization process is that significant information should be preserved while reducing the color of an image. In other words, quantization ...
- ArticleApril 2011
Identification of Abnormal Masses in Digital Mammography Images
UCMA '11: Proceedings of the 2011 International Conference on Ubiquitous Computing and Multimedia ApplicationsPages 35–41https://doi.org/10.1109/UCMA.2011.16Mammography is at present one of the available method for early detection of masses or abnormalities which is related to breast cancer. The most common said abnormalities that may indicate breast cancer are masses and calcifications. The challenge is to ...
- articleDecember 2010
An efficient approach for quantification of aortic regurgitation using proximal isovelocity surface area method
Pattern Recognition and Image Analysis (SPPRIA), Volume 20, Issue 4Pages 542–550https://doi.org/10.1134/S1054661810040152The proximal isovelocity surface area measurement, also called as the "flow convergence" method, can be used in echocardiography to estimate the area of an orifice through which blood flows. It has a lot of applications, but this paper focuses only on ...
- ArticleApril 2010
pH Levels Classification by Color Quantization on a Camera Phone
CMC '10: Proceedings of the 2010 International Conference on Communications and Mobile Computing - Volume 01Pages 448–452https://doi.org/10.1109/CMC.2010.322In this paper, we present a mobile healthcare application that applies color quantization technique in analysis of color images taken by a camera phone to automate pH classification of medical tests. Experimental results and comparative study have ...
- ArticleApril 2006
Simplification of Texture in 3D Maps
AINA '06: Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02Pages 678–682https://doi.org/10.1109/AINA.2006.310In this paper, we present a numerical technique for simplification of the texture of 3D maps. In the simplification process, we first select textures that can be segmented by straight lines using Hough transform. The selected texture images are ...
- ArticleJanuary 2002
On the Initialization and Training Methods for Kohonen Self-Organizing Feature Maps in Color Image Quantization
In this paper, we propose a new Gray-Color initialization method for use with the Kohonen's self-organizing feature maps in color image quantization. In our method, the neurons in the competitive layer are initialized in two distinct groups and the ...