2008 the Fourth International Conference on Information Assurance and Security 2008
DOI: 10.1109/ias.2008.65
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Skin Segmentation Using Color Distance Map and Water-Flow Property

Abstract: A new approach for skin region segmentation is proposed. It uses color distance map (CDM) and an algorithm based on the property of flow of water. The CDM itself is a grayscale image, which makes the algorithm very simple. However, it is still capable of providing color information based on which some skin and non-skin seed regions can be determined reliably. Then a water-flow based procedure determines skin and non-skin segments completely. The color distance map is robust against variations in imaging condit… Show more

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Cited by 19 publications
(5 citation statements)
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“…This process is repeated for new adjacent pixels until no neighbouring pixels satisfy the conditions and the growth of the region stops. Variations of this method have been proposed in [34][35][36] where different measurement techniques have been proposed to measure the similarity between adjacent pixels for assigning them to a region, such as Euclidean distance, colour distance map or probability measuring.…”
Section: Related Workmentioning
confidence: 99%
“…This process is repeated for new adjacent pixels until no neighbouring pixels satisfy the conditions and the growth of the region stops. Variations of this method have been proposed in [34][35][36] where different measurement techniques have been proposed to measure the similarity between adjacent pixels for assigning them to a region, such as Euclidean distance, colour distance map or probability measuring.…”
Section: Related Workmentioning
confidence: 99%
“…This process is repeated for new adjacent pixels until no neighboring pixels satisfy the conditions and the growth of the region stops. Variations of this method have been proposed in [34,35,36] where different measurement techniques have been proposed to measure the similarity between adjacent pixels for assigning them to a region, such as Euclidean distance, color distance map or probability measuring.…”
Section: Related Workmentioning
confidence: 99%
“…Paper in [85] came up with a model which can overcome the sensitivity in regards with the variations in the condition of lighting and also while complex backgrounds used Hue, Saturation, and Value color space and multi-level segmentation. Furthermore in [86] The author proposed a new method in skin region segmentation, his method utilize color distance map (CDM) and another algorithm which is based on water flow. Paper number fourteen [87] come up with framework was introduced, the content-based framework was aimed for detecting skins with grayscale images.…”
Section: A: Pixel Basedmentioning
confidence: 99%
“…Again, it may be precise but lacking in simplicity, or even it may even be complicated and slow [84]. In majority of applications, a particular level of accuracy and speed is adequate, and the complexity of a model is determined by [86].…”
Section: ) Motivation Related To Performancementioning
confidence: 99%