Identifying regions of interest in reading an image

Tsai, Cheng-Min; Guan, Shing–Sheng

doi:10.1016/j.displa.2015.08.001

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…The preprocessed image is segmented using OTSU segmentation to create an initial vessel segment as shown in Figure 3. The length and diameter of vessel is calculated using the ROI tools on the vessel segment [6] [7]. The diameter of the initial part of segmented region set as reference node-P1.…”

Section: Methodsmentioning

confidence: 99%

Comparative Analysis of Adaptive Vessel Segmentation—Cerebral Arteriovenous Malformation

Kumar¹,

Mehta²,

Ramachandra³

2015

JBiSE

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Aim: Neurovascular abnormalities are extremely complex, due to the multitude of factors acting simultaneously on cerebral hemodynamics. Cerebral Arteriovenous Malformation (CAVM) hemodynamic in one of the vascular abnormality condition results changes in the vessels structures and hemodynamics in blood vessels. The challenge is segmenting accurate vessel region to measure hemodynamics of CAVM patients. The clinical procedure is in-vivo method to measure hemodynamics. The catheter-based procedure is difficult, as it is sometimes difficult to reach vessels substructures. Methods: In this paper, we have proposed adaptive vessel segmentation based on threshold technique for CAVM patients. We have compared different adaptive methods for vessel segmentation of CAVM structures. The sub-structures are modeled using lumped model to measure hemodynamics non-invasively. Results: Twenty-three CAVM patients with 150 different vessel locations of DSA datasets were studied as part of the adaptive segmentation. 30 simulated data has been evaluated for more than 150 vessels locations for sub-segmentation of vessels. The segmentation results are evaluated with accuracy of 93%. The computed p-value is smaller than the significance level 0.05. Conclusion: The adaptive segmentation using threshold based produces accurate vessel segmentation, results in better accuracy of hemodynamic measurements for DSA images for CAVM patients. The proposed adaptive segmentation helps clinicians to measure hemodynamic non-invasively for the segmented sub-structures of vessels.

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Section: Methodsmentioning

confidence: 99%

Comparative Analysis of Adaptive Vessel Segmentation—Cerebral Arteriovenous Malformation

Kumar¹,

Mehta²,

Ramachandra³

2015

JBiSE

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“…W 1 hen the X/X n , Y/Y n , and Z/Z n are equal to or less than 0.008856. 1 The famous kettle design by Gourmia company. The copyright of the image belongs to the Gourmia company.…”

Section: Cielab Colour Spacementioning

confidence: 99%

A Colour Analysis Tool for Product Appearance

Tsai

Gao

2020

E3S Web Conf.

Self Cite

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This study proposes an image colour analysis tool that could help graphic/product designers to understand colour distribution and colour appearance of a series product. The analysis method is in accordance with the CIELab uniform colour space created by the International Commission on Illumination (CIE) in 1976. Based on the analysis method used in a previous study of the oil paintings, 370 oil paintings were analysed. The results demonstrated that using simple colour difference formula could reveal the images’ numerical colour distribution (Tsai, 2019). The focus of this study is twofold: to understand the colour appearance of product design and to check the rationality and reliability of the analysis tool. The analysis tool this study proposes could also be useful in providing the product designers with easy analysis and understanding of the colour distribution of images.

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“…Participants also have an increased likelihood to quickly locate and fixate on people when depicted in social scenes [39,40]. Furthermore, several eye tracking studies have identified attentional bias towards human faces in pictures, with a particular focus on the eyes [40,41]. It has been proposed that enhanced interest in the eyes is due to a tendency for humans to try to infer social information from an individual's eye gaze, and thereby better comprehend the meaning of a scene [39,42].…”

Section: Attention Towards the Web-based Personalised Educationmentioning

confidence: 99%

Eye Tracking-based Evaluation of User Engagement with Standard and Personalised Digital Education for Diabetic Patients

Quinn

Bond

Nugent

2018

Electronic Workshops in Computing

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Health education is a fundamental process in strategies to inform and involve patients with effective health management. Nevertheless, challenges exist in motivating patients to engage with health information. This paper describes a study which evaluated user engagement with generic and tailored digital formats of interactive health education for diabetic patients. We recruited 18 participants, nine of whom viewed a diabetic education booklet, and the remaining subjects viewed electronic personalised education. Eye tracking was used to measure visual engagement with the artefacts, and the users provided feedback regarding the aesthetics and usability of the education. The findings indicated that for both artefacts the participants attended predominantly to the text content. Moreover, for the personalised education, it was found that images that had been personalised in accordance with user characteristics received a greater amount of attention than non-tailored images.

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Identifying regions of interest in reading an image

Cited by 8 publications

References 15 publications

Comparative Analysis of Adaptive Vessel Segmentation—Cerebral Arteriovenous Malformation

Comparative Analysis of Adaptive Vessel Segmentation—Cerebral Arteriovenous Malformation

A Colour Analysis Tool for Product Appearance

Eye Tracking-based Evaluation of User Engagement with Standard and Personalised Digital Education for Diabetic Patients

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