The comparison between transformations from RGB colour space to IHS colour space, used for object recognition

Palus, Henryk; Bereska, Damian

doi:10.1049/cp:19950775

Cited by 12 publications

(5 citation statements)

References 5 publications

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“…Palus and Bereska [23] compare four RGB-to-HSI conversion algorithms based on two criteria. On the one hand, the time for execution of the conversion and on the other hand, the number of color objects on the HS plane, which they describe as the maximum consistency of the HS cluster, are assessed.…”

Section: Status Quo: Conversion Algorithms and Calibrationmentioning

confidence: 99%

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Toward quantitative wall shear stress measurements: a comparative study on the impact of RGB-to-hue conversion algorithms on liquid crystal diagnostics

Melekidis

Elfner²,

Bauer³

2022

Meas. Sci. Technol.

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Liquid crystal diagnostics is a capable tool for determining quantitative wall shear stress distributions with high spatial resolution, which can be applied to almost any surface shape. A standard consumer camera is typically used to record the scattered light of the liquid crystals as red, green, and blue RGB data. This RGB data has to be converted to a hue-based color space in order to perform a state-of-the-art calibration procedure. Algorithms for this purpose are numerous in the literature. However, a considerable number of them show a wide range of resulting hue values due to different trigonometric relations. This renders some conversion algorithms unsuitable for calculating physical wall shear stresses, as their magnitude and distribution depend on the conversion algorithm used. For this reason, the choice of an inappropriate conversion algorithm may compromise the measurement accuracy and subsequent comparability significantly. The main objective of this paper is to give recommendations for the use of appropriate algorithms to determine physical wall shear stresses. In a first step, synthetic liquid crystal data is converted using algorithms described in the literature. The preselected algorithms are then applied to liquid crystal data from a flat plate wind tunnel experiment to illustrate their influence on the determined uncalibrated wall shear stress distribution. The final discussion serves as guidelines for the post-processing of liquid crystal data and their subsequent comparability.

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Section: Status Quo: Conversion Algorithms and Calibrationmentioning

confidence: 99%

“…The formula originally introduced by Bajón et al [25] is different from the one mentioned in [23] called the Bajon transformation. Palus and Bereska simplify the equation in such a way that trigonometric functions are excluded.…”

Section: Status Quo: Conversion Algorithms and Calibrationmentioning

confidence: 99%

Toward quantitative wall shear stress measurements: a comparative study on the impact of RGB-to-hue conversion algorithms on liquid crystal diagnostics

Melekidis

Elfner²,

Bauer³

2022

Meas. Sci. Technol.

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“…Hence the RGB colour space is inappropriate for applications requiring direct colour comparisons [11]. A number of colour models have been developed that define colour in terms of hue, saturation and intensity, and a number of reviews and comparisons have been made [10,20,22]. In this work the HSV model contained within the MATLAB environment was used to transform the data from the RGB space.…”

Section: Object Classificationmentioning

confidence: 99%

Fuzzy processing for active vision

Allen

Marín

Garcìa-Lagos

et al. 2003

ICA

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Humans employ an active visual system to gather visual data from the surrounding environment. In addition to continually re-focusing the lens and adjusting the iris to control the exposure of light on to the retina, the eye constantly moves so that specific information can be focused on to the fovea-the part of the retina capable of defining fine detail. The target location when the eye moves is determined by the attention of the viewer. The attention of the viewer is drawn towards regions within the environment that are interesting or salient, i.e.they contain visual or semantic information. A mobile robot traversing within its environment has to identify and locate landmarks and other mobile entities as part of its navigational processes. The ability to efficiently analyze visual data captured from the environment and relate this to information from its internal map is very important. In this work a technique is described that uses semantic data to direct attention towards regions of interest within a simple environment and systematically search other areas of the environment. A fuzzy system lies at the heart of the technique that reasons with historical and environmental data in order to influence the search patterns. A Kohonen self-organizing map is used for object classification. Experimental data will be provided to illustrate the success and efficiency of the technique and conclusions will be drawn that discuss future work.

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“…HSV decouples the intensity information from the color [4,6], which means that we can remove the black component (i.e. form lines) easily and the coupon can be adjusted to luminance invariant.…”

Section: Color Space Comparison and Selectionmentioning

confidence: 99%

“…|| 1 2 || Dist P P (6) Calculate the Euclid distant from 1 P to 2 P , set it to white color if result of Equation (6) is larger than a pre-specific threshold called Threshold . The threshold may vary for each type of coupon and in the next phase we'll adjust it by the performance.…”

Section: Process Phasementioning

confidence: 99%

String extraction from color airline coupon image using statistical approach

Wang

Zeng

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.

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A novel technique is presented in this paper to extract strings in color images of both Business Settlement Plan (BSP) and non-BSP airline coupon. The essential concept is to remove non-text pixels from complex coupon images, rather than extract strings directly. First we transfer color images from RGB to HSV space, which is approximate uniformed, and then remove the black component of images using the property of HSV space. A statistical approach called Principal Components Analysis (PCA) is applied to extract strings by removing the background decorative pattern based on priori environment. Finally, a method to validate and improve performance is present.

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The comparison between transformations from RGB colour space to IHS colour space, used for object recognition

Cited by 12 publications

References 5 publications

Toward quantitative wall shear stress measurements: a comparative study on the impact of RGB-to-hue conversion algorithms on liquid crystal diagnostics

Toward quantitative wall shear stress measurements: a comparative study on the impact of RGB-to-hue conversion algorithms on liquid crystal diagnostics

Fuzzy processing for active vision

String extraction from color airline coupon image using statistical approach

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