Survey of Color Feature Extraction Schemes in Content-Based Picture Recovery System

Patil, Kiran H.; Bhat, M. Nirupama

doi:10.1007/978-981-33-6862-0_56

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…From a colour quantization outcome perspective, both [31] and [32] improved JSEG. In [9] authors created a new method called HSEG by modifying JSEG and including H measure into its spatial segmentation phase [28,15].…”

Section: Background and Related Workmentioning

confidence: 99%

“…For the purposes of colour image processing, such as colour image compression, multi-class clustering of colour data, and subpixel colour-edge detection. In [28] authors have developed quaternion moment based operators using BQMP thresholding. They have also shown that the BQMP thresholding approach, a two-class classifier, produces results that are comparable to those of the best Bayes classifier for data sets with a normal distribution.…”

Section: Background and Related Workmentioning

confidence: 99%

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A Novel Approach for Quaternion Algebra Based JSEG Color Texture Segmentation

Tripathi

Srivastava

Tiwari³

2023

IJRITCC

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In this work, a novel colour quantization approach has been applied to the JSEG colour texture segmentation using quaternion algebra. As a rule, the fundamental vectors of the colour space are derived by inverting the three RGB colour directions in the complex hyperplanes. In the proposed system, colour is represented as a quaternion because quaternion algebra provides a very intuitive means of working with homogeneous coordinates. This representation views a colour pixel as a point in the three-dimensional space. A novel quantization approach that makes use of projective geometry and level set methods has been produced as a consequence of the suggested model. The JSEG colour texture segmentation will use this technique. The new colour quantization approach utilises the binary quaternion moment preserving thresholding methodology, and is therefore a splintering clustering method. This method is used to segment the colour clusters found inside the RGB cube and the colour consistency throughout the spectrum and in the space are both considered. The results of the segmentation are compared with JSEG as well as with the most recent standard segmentation techniques. These comparisons show that the suggested quantization technique makes JSEG segmentation more robust.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

A Novel Approach for Quaternion Algebra Based JSEG Color Texture Segmentation

Tripathi

Srivastava

Tiwari³

2023

IJRITCC

View full text Add to dashboard Cite

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Review on Image Recoloring Methods for Efficient Naturalness by Coloring Data Modeling Methods for Low Visual Deficiency

Pandian¹

2021

JAICN

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Recent research has discovered new applications for object tracking and identification by simulating the colour distribution of a homogeneous region. The colour distribution of an object is resilient when it is subjected to partial occlusion, scaling, and distortion. When rotated in depth, it may remain relatively stable in other applications. The challenging task in image recoloring is the identification of the dichromatic color appearance, which is remaining as a significant requirement in many recoloring imaging sectors. This research study provides three different vision descriptions for image recoloring methods, each with its own unique twist. The descriptions of protanopia, deuteranopia, and tritanopia may be incorporated and evaluated using parametric, machine learning, and reinforcement learning techniques, among others. Through the use of different image recoloring techniques, it has been shown that the supervised learning method outperforms other conventional methods based on performance measures such as naturalness index and feature similarity index (FSIM).

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Survey of Color Feature Extraction Schemes in Content-Based Picture Recovery System

Cited by 2 publications

References 20 publications

A Novel Approach for Quaternion Algebra Based JSEG Color Texture Segmentation

A Novel Approach for Quaternion Algebra Based JSEG Color Texture Segmentation

Review on Image Recoloring Methods for Efficient Naturalness by Coloring Data Modeling Methods for Low Visual Deficiency

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