An Analysis of Skin Pixel Detection using Different Skin Color Extraction Techniques

Surampalli, Gururaj P.; Dayanand, J; Dhananjay, M

doi:10.5120/8655-2385

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…The components of the YCbCr model show good results in human skin detection in a given area of an image. In the study of Surampalli et al, involving the detection of skin in digital images, the YCbCr model achieved 96.42% efficiency compared to the 3.57% efficiency of the HSV model [ 24 ]. We used the values of the conversion rates of the RGB model to the YCbCr model, presented in Equations (3) and (4):

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Section: Methodsmentioning

confidence: 99%

SKINREMS—A New Method for Assessment of the Niacin Skin Flush Test Response in Schizophrenia

Karakuła-Juchnowicz

Róg

Wolszczak

et al. 2020

JCM

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Schizophrenia has been considered a disorder linked with faulty lipid homeostasis, and the proposed tool for assessment of these disruptions is the niacin skin flush test. The aims of the study were: 1. Create a new tool to analyze results of the niacin skin flush test more precisely and objectively. 2. Verify the utility of a self-created tool for differentiating between schizophrenia (SZ; n = 56), bipolar disorder (BD; n = 29) and healthy control (HC; n = 45) individuals. The proposed developed method, based on the Skin Reaction Measurement Computer System (SKINREMS), allows one to evaluate the response to the niacin skin flush test quickly and objectively. SKINREMS showed good accuracy in discriminating SZ from BD (with sensitivity 91% and specificity 72%), and SZ from HC (71% and 66%, respectively), and sufficient but not excellent accuracy in discriminating BD from HC (55% and 54%, respectively). The pathophysiological pathways and features shared by schizophrenia and bipolar disorder may be the reason for difficulties in fully discriminating between these two mental disorders using the niacin challenge test. The management of disruptions in the phospholipid metabolism and the inflammatory process could potentially become an individualized form of therapy in a subgroup of psychiatric patients.

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…”

Section: Methodsmentioning

confidence: 99%

SKINREMS—A New Method for Assessment of the Niacin Skin Flush Test Response in Schizophrenia

Karakuła-Juchnowicz

Róg

Wolszczak

et al. 2020

JCM

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“…The skin color segmentation technique with YCbCr color model was used to track face and hand for sign language recognition [6,7]. The YCbCr color model is better than Log opponent, HSV, and YIQ color model was presented, as in [10]. RGB color model was executed to segment the skin color for detecting hand gesture pointing location.…”

Section: Literature Reviewmentioning

confidence: 99%

Ensemble Threshold Segmentation for hand detection

Rungruangbaiyok

Duangsoithong

Chetpattananondh

2015

2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo

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Hand detection can be used for human computer interaction (HCI) and has many methods that use to detect the hand image. Skin color detection is one of the methods however there are many types of color model with threshold optimization problem. This paper proposes an Ensemble Threshold Segmentation method (ETS) to improve the segmentation technique. The ETS was implemented to optimize threshold of any color model to compare the accuracy with existing color models and wellknown Otsu's method. The results show that the best accuracy technique is the ETS with HSV color model.

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