| Summary: | 碩士 === 淡江大學 === 資訊工程學系碩士在職專班 === 100 === This thesis is to explore the human face region detection photos related technology and algorithms, and develop a set of systems and applications can be realized.
First conducted through the automatic white balance algorithms for image color adjustment, then through the color space conversion and color detection, extraction image color distribution of the range,then through the image binarization method, can be drawn from the face of
similar area, to make the shape more plus a complete face region, we use morphological (Morphology) in the erosion (Erosion) and expansion (Dilation) and other methods, which can effectively eliminate the noise in the image area and connected through the expansion, then connectivity markers (Connected Component Labeling) algorithm, to carry out the
skin area of the calibration, the final combination of face shape, face particular character (Face Feature) and other etection methods,to determine the most likely of the face region.
The experimental results, the study proposed three-stage detection method (Tri-Stage Detection Method), is indeed able to accurately locate the photo in the complex background of the face region, plus face shape detection results may be accurate face contour characteristics chin
position, ruling out non-face area of the neck area, and finally revised positioning of the face region to do with the output for the follow-up of the application and processing.
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