Comparison of color representations for content‐based image retrieval in dermatology

Background/purpose: We compare the effectiveness of 10 different color representations in a content‐based image retrieval task for dermatology.

[1]  Antoine Geissbühler,et al.  Erratum to "A review of content-based image retrieval systems in medical applications - Clinical benefits and future directions" [I. J. Medical Informatics 73 (1) (2004) 1-23] , 2009, Int. J. Medical Informatics.

[2]  P Altmeyer,et al.  Diagnostic and neural analysis of skin cancer (DANAOS). A multicentre study for collection and computer‐aided analysis of data from pigmented skin lesions using digital dermoscopy , 2003, The British journal of dermatology.

[3]  H. Voigt,et al.  Computer vision and digital imaging technology in melanoma detection. , 2002, Seminars in oncology.

[4]  Michele Pellegrino,et al.  Predictive Value of Skin Color for Illness Severity in the High-Risk Newborn , 2002, Pediatric Research.

[5]  James Ze Wang,et al.  Content-based image retrieval: approaches and trends of the new age , 2005, MIR '05.

[6]  R. H. Moss,et al.  Skin lesion classification using relative color features , 2007, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[7]  S. L. Phung,et al.  A novel skin color model in YCbCr color space and its application to human face detection , 2002, Proceedings. International Conference on Image Processing.

[8]  Ioannis Pitas,et al.  Segmentation and tracking of faces in color images , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[9]  Antoine Geissbühler,et al.  A Review of Content{Based Image Retrieval Systems in Medical Applications { Clinical Bene(cid:12)ts and Future Directions , 2022 .

[10]  John R. Kender,et al.  Finding skin in color images , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[11]  Min C. Shin,et al.  Does colorspace transformation make any difference on skin detection? , 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

[12]  Arnold W. M. Smeulders,et al.  Color Invariance , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Nikolaos G. Bourbakis,et al.  A survey of skin-color modeling and detection methods , 2007, Pattern Recognit..

[15]  W V Stoecker,et al.  An automatic color segmentation algorithm with application to identification of skin tumor borders. , 1992, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[16]  H. Takiwaki.  Measurement of skin color: practical application and theoretical considerations. , 1998, The journal of medical investigation : JMI.

[17]  Jean-Christophe Terrillon,et al.  Comparative Performance of Different Chrominance Spaces for Color Segmentation and Detection of Human Faces in Complex Scene Images , 1999 .

[18]  Francis Quek,et al.  Comparison of five color models in skin pixel classification , 1999, Proceedings International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. In Conjunction with ICCV'99 (Cat. No.PR00378).

[19]  T M Lehmann,et al.  Content-based Image Retrieval in Medical Applications , 2004, Methods of Information in Medicine.

[20]  Philippe Schmid-Saugeona,et al.  Towards a computer-aided diagnosis system for pigmented skin lesions. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[21]  G Rassner,et al.  Clinical and Laboratory Investigations Digital image analysis for diagnosis of cutaneous melanoma. Development of a highly effective computer algorithm based on analysis of 837 melanocytic lesions , 2004 .

[22]  Li Yang,et al.  An Imaging Colorimeter for Noncontact Skin Color Measurement , 2003 .

[23]  Vladimir Vezhnevets,et al.  A Survey on Pixel-Based Skin Color Detection Techniques , 2003 .