A Sensation Model for Color Images’ Cognition

It’s a new idea to make computers be able to obtain “sensations” from a color image through some unsupervised ways. To let the idea come into true, a granule-based model, based on granular computing(GrC) which is a new way to simulate human thinking to help solve complicated problems in the field of computational intelligence, is proposed for color image processing. First, this paper deems data a hypercube, defines two new concepts, attribute granules(AtG) and connected granules(CoG), and presents the definitions of the granule-based model. Then, in order to fulfill the granule-based model, this paper designs a single attribute analyser(SAA), defines some theorems and lemmas related to decomposition, and describes the processing of extracting all attibute granules. Experimental results on over 300 color images show that the proposed analyser is accurate, robust, high-speed, and able to provide computers with “sensations”.

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Real-time Profile Measurement for Reinforcing Bar during Hot-rolling Using High-speed Color Image Processing Camera

Tetsu-to-Hagane ◽

10.2355/tetsutohagane.101.190 ◽

2015 ◽

Vol 101 (3) ◽

pp. 190-197

Author(s):

Eiji Takahashi ◽

Ryo Katayama ◽

Naokazu Sakoda

Keyword(s):

Image Processing ◽

Real Time ◽

Hot Rolling ◽

High Speed ◽

Color Image ◽

Time Profile ◽

Color Image Processing ◽

Profile Measurement ◽

Reinforcing Bar

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A high-speed parallel computer board for color image processing, compression and transmission

10.1109/reg5.1988.15908 ◽

2003 ◽

Author(s):

T.D. Briscoe ◽

R.W. Harris ◽

P.A. Wheeler

Keyword(s):

Image Processing ◽

High Speed ◽

Color Image ◽

Parallel Computer ◽

Color Image Processing ◽

Computer Board

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Fusion of Color Images Based on Fuzzy Transform and Spatial Frequency

International Journal of Computational Intelligence and Applications ◽

10.1142/s1469026818500049 ◽

2018 ◽

Vol 17 (01) ◽

pp. 1850004 ◽

Cited By ~ 1

Author(s):

Deepak Gambhir ◽

Meenu Manchanda

Keyword(s):

Image Processing ◽

Spatial Frequency ◽

Visual Information ◽

Color Image ◽

Real Life ◽

Color Images ◽

Color Image Processing ◽

Fuzzy Transform ◽

Fusion Algorithm ◽

Fused Image

Multiple images of a scene, captured using different imaging devices and containing complementary information, are required to be combined into a single fused image. The fused image, so obtained, should ideally contain all important features of individual input images. Further, color image processing is also gaining importance in most of the real-life applications. Color images provide better visual information and are highly suitable for human visual perception. Motivated by the gaining importance of color image processing, fusion of color images is proposed. The fusion algorithm is proposed in HSV color space where the luminance components of multiple input images, based on fuzzy transform and spatial frequency, are fused. The chrominance information of input images provides color to the fused image. The fused image contains all important information and possesses natural color appearance. Experiments performed on various pairs of visible–infrared and multifocus images demonstrate the superiority of the proposed algorithm over recent state-of-the-art image fusion algorithms.

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