Publication | Closed Access
Counting number of points for acne vulgaris using UV Fluorescence and image processing
16
Citations
10
References
2012
Year
Unknown Venue
Image ProcessingImage AnalysisEngineeringPattern RecognitionBiometricsAcne VulgarisUv FluorescenceBiostatisticsUv ImageDermatologyMedical Image ComputingComputer VisionImage EnhancementP.acne Vulgaris
This paper presents counting number of points for the P.acne vulgaris using UV Fluorescence and image processing. This proposed method uses a process of image processing as follows. Cropping a UV image is to select a region of interest and, then the cropped image is resized for a suitable size and it (or the color image) is converted to a gray image. Quality of this gray image will be improved for image enhancement using adaptive histogram equalization. Finally, extended maxima transform, i.e. the regional maxima of the H-maxima transform, is used for counting number of the P. acne points. The experimental results show that the accuracy, sensitivity and precision are approximately at 83.75%, 98.22% and 85.04%, respectively. It saves time to analysis of the acne points.
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