2019
DOI: 10.1007/978-981-13-7403-6_68
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Hand Segmentation from Complex Background for Gesture Recognition

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Cited by 18 publications
(2 citation statements)
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“…To the best of our knowledge, this study is the first to generate a mapping of hands' anatomical regions from patients' pictures as well as the anatomical stratification of HE lesions. Other work related to hand segmentation focused either on hand detection, 21 palm region extraction for biometrics, 22 gesture recognition 23 or bone segmentation from ultrasound and MRI scans 24,25 . Previous work on automated eczema severity assessment were based on smaller data sets and mainly proposed lesion segmentation approaches, 26 some with classification of the overall severity level 27–29 .…”
Section: Discussionmentioning
confidence: 99%
“…To the best of our knowledge, this study is the first to generate a mapping of hands' anatomical regions from patients' pictures as well as the anatomical stratification of HE lesions. Other work related to hand segmentation focused either on hand detection, 21 palm region extraction for biometrics, 22 gesture recognition 23 or bone segmentation from ultrasound and MRI scans 24,25 . Previous work on automated eczema severity assessment were based on smaller data sets and mainly proposed lesion segmentation approaches, 26 some with classification of the overall severity level 27–29 .…”
Section: Discussionmentioning
confidence: 99%
“…The author has proposed an approach that uses histogram thresholding for detecting static hand and extracting its contour from a complex background [15]. Histogram thresholding approach gives better result over depth thresholding to extract hand region.…”
Section: Survey On Hand Gesture Segmentationmentioning
confidence: 99%