Book ChapterDOI
Dominant Color Palette Extraction by K-Means Clustering Algorithm and Reconstruction of Image
Illa Pavan Kumar,V. P. Hara Gopal,Somula Ramasubbareddy,Sravani Nalluri,K. Govinda +4 more
- pp 921-929
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TLDR
In this article, a grouping calculation and a significantly more ideal instatement technique are used to extract an effective shading palette from a picture, in order to remove the prevailing shading palettes from the picture.Abstract:
In our present age, there are numerous applications and devices for converting a standard picture into a picture, which is built from its predominant shading palettes. ‘predominant colors’ are the hues in the picture, in which the pixels of the picture contain the particular shading. These hues are then removed and another picture is then framed from this picture. However, this is just a speculation of the issue. In this undertaking, we dive into much more proficient techniques with a specific end goal to remove the prevailing shading palettes from the picture. In this manner, utilizing a grouping calculation and a significantly more ideal instatement technique, effective shading palette is extracted. The grouping calculation being utilized here is K-implies bunching calculations which is much more effective calculation than the other bunching calculations out there. The bunching calculation groups the pixels in bunches in view of their shading. The palettes separated from the picture are then utilized and another picture is reproduced.read more
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Optimal Energy Distribution in Smart Grid
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Providing Security for Cloud Computing Platform Using IP Address Randomization
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Journal ArticleDOI
Football pitch condition analysis based on k-means clustering
TL;DR: In this paper , an unsupervised allocator strategy for image analysis of football pitches that uses k-means clustering and color comparison to assess whether a playing field is in good or bad condition is presented.
References
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Journal ArticleDOI
An adaptive clustering algorithm for color quantization
Ing-Sheen Hsieh,Kuo-Chin Fan +1 more
TL;DR: Experimental results reveal the feasibility and superiority of the proposed approach in solving color quantization problem and the executing speed of the algorithm is quite fast due to the reduced RGB color space, sorted histogram list, suitable color design and destined pixel mapping.
Proceedings ArticleDOI
Dominant Color Structure Descriptor for Image Retrieval
TL;DR: Experimental results show that DCSD has a significant improvement on both retrieval performance and descriptor size over DCD, outperforming compact configurations of scalable color descriptor and color structure descriptor with smaller descriptor size.
Image stylization by oil paint filtering using color palettes
TL;DR: A color quantization scheme is proposed that performs feature-aware recolorization using the dominant colors of the input image and an approach for real-time computation of paint textures is presented that builds on the smoothed structure adapted to the main feature contours of the quantized image.