The invention discloses an intelligent face health degree identification and evaluation method. The method comprises: an
image acquisition stage: collecting a face image for detecting acnes and colorspots and assessing the health degree of the face; and an
acne and color spot detection stage: converting the face image into an HSV color
gamut from an RGB color
gamut, and detecting
acne through a
binary image of the maximum brightness value image, iteratively calculating the threshold values of the segmented color spot
lesion area and the
skin area of the face image through an ISODATA clustering
algorithm to obtain the edge contour of the face color spot and detect the color spot; quantitative measurement of
acne and color spots: using the ROI to select acne in a framing manner, calculatingthe number of acnes, measuring color indexes of a color spot area and color indexes of color spots, and divides the color indexes into a serious degree, a common degree and a slight degree through the color spot area and the
color depth; face health degree assessment: calculating the face acne
score according to the acne number and the distribution condition, calculating the face color spot scoreaccording to the color spot number, the degree and the distribution condition, and comprehensively obtaining the face health degree
score. According to the method, the health degree of the human faceis comprehensively judged through the two indexes of acne and color spots, the
skin defects of the human face are rapidly and accurately detected, and quantitative indexes are provided.