Applying Color Theory to Digital Media and Visualization

Rhyne, Theresa-Marie

doi:10.1145/3027063.3076594

Cited by 23 publications

(26 citation statements)

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“…As there is no blue-green pattern, cyan is not produced by any blendings and can be employed for a macro block. These colors correspond to six equally-spaced points in the hue circle [26], with angular distances of 60°between adjacent points (Figure 5a).…”

Section: Module Designmentioning

confidence: 99%

“…However, there is a different option: brightness could be used instead of hue. This is equivalent to consider a different dimension, which can be easily seen through the HSL double cone [26], which expresses the lightness on an axis perpendicular to the hue circle (Figure 5b). Here, the points offering maximum separation are those at the vertices of the cone: white and black.…”

Section: Module Designmentioning

confidence: 99%

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Distance-Dependent Barcodes for Context-Aware Mobile Applications

Palomäki

Freire

Francesco

2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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This article introduces the novel concept of distance-dependent barcodes, which provide users with different data based on their scanning distance. These barcodes employ color blending as the key technique to achieve distance-dependence. A simple yet robust encoding scheme is devised accordingly to distinguish between near and far users. Through several experimental results, the proposed technique is shown to be effective (in terms of clear separation between near and far scanners), reliable (as to successful scans), and practical (it can be used in off-the-shelf smartphones). A few representative use cases are then presented to establish distancedependent barcodes as an enabling technology for context-aware mobile applications. They include casual interactions with public displays, where the role of users is determined based on their distance from a screen, and augmented reality in retail, where distancedependent barcodes provide information on available goods with different granularities. Finally, distance-dependent barcodes are shown to be user-friendly and effective through a user study. CCS CONCEPTS • Human-centered computing → Ubiquitous and mobile computing systems and tools.

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Section: Module Designmentioning

confidence: 99%

Section: Module Designmentioning

confidence: 99%

Distance-Dependent Barcodes for Context-Aware Mobile Applications

Palomäki

Freire

Francesco

2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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“…Consequently, each pixel will be represented by an n-valued vector instead of one, where n is the number of bands, for instance, a three-value vector [r,g,b] in case of color images. Secondly, the RGB images are converted to CIE XYZ space and then to CIE LAB space by applying a number of mathematical operations described in Rhyne (2016). These routines convert images back and forth from RGB to CIE LAB color spaces by rescaling the image color spaces.…”

Section: Multispectral Color Transformationmentioning

confidence: 99%

Fast and accurate pseudo multispectral technique for whole-brain MRI tissue classification

Fatnassi

Zaidi

2019

Phys. Med. Biol.

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Brain imaging using high resolution magnetic resonance imaging (MRI) has expanded the role of neuroimaging in clinical and research setting, particularly when used in junction with advanced data extraction and visualization tools. The accurate interpretation of information pertaining to investigate the aging brain or disease induced brain alterations, as well as functional studies of brain tissues relies on accurate and reproducible brain tissue classification, which is the preliminary step prior to segmentation (Pham et al 2000, Sonka and Fitzpatrick 2000). Manual tissues classification may be reliable, but is difficult to perform in clinical routine and is time consuming (Hatt et al 2017). Furthermore, it suffers from large intra-and inter-observer variability that decreases the credibility of segmentation-based image analysis (Kasiri et al 2010). As such, there is a large demand to develop alternative methods for robust and accurate automated classification of brain MR images as a prerequisite for

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“…The intensity of the pixel is stored as a number in matrix. One of the commonly used color representation models used in computers is the RGB color model, which is an additive color model 16 . In the RGB color model, the colors are reproduced by combining the red (R), green (G) and blue (B) light components.…”

Section: Image Analysis Algorithmmentioning

confidence: 99%

Image analysis for classification of damaged and undamaged areas on composite structures

Shrestha

Groves

2019

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII

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Composite materials are susceptible to barely visible impact damages (BVID) due to low-velocity impact. Therefore, an automated damage detection and quantification technique is highly desirable for quick inspection of large number of composite structures. Among various different non-destructive techniques (NDTs), active thermography NDT can be used for detecting damage on aircraft structures, using an infrared camera to capture the temperature distribution on the structure after it is exposed to heat using a flash lamp. In this paper, an image analysis algorithm that analyzes the infrared image, acquired using NDTherm NT, by determining the changes in the colormap values to automate the detection and quantification of the damage size was proposed. An area of the second derivative pre-processed grayscale image acquired using NDTherm NT is scanned in the x-direction and y-direction, and for each scan region the histogram of colormap values is extracted and stored. Irregularities in the structure result in non-uniform temperature distributions, which cause the infrared image to have a wide-range of grayscale colormap values in the damaged area. Therefore, the damage region is identified by monitoring the changes in the number of detected grayscale colormap values. The proposed image analysis technique was implemented for automated damage detection on Boeing 787 skin's curved CFRP panel, with dimensions of 1.3 × 1.3 m. The proposed method detected the damage and determined the maximum damage length in the x-direction and y-direction to be 70.1 mm and 57.8 mm, respectively. Moreover, the proposed technique is suitable for feature identification applications.

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Applying Color Theory to Digital Media and Visualization

Cited by 23 publications

References 0 publications

Distance-Dependent Barcodes for Context-Aware Mobile Applications

Distance-Dependent Barcodes for Context-Aware Mobile Applications

Fast and accurate pseudo multispectral technique for whole-brain MRI tissue classification

Image analysis for classification of damaged and undamaged areas on composite structures

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