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METHOD FOR PROCESSING IMAGE FOR INTELLIGENT HAIR LOSS DIAGNOSIS AND PROGNOSIS PREDICTION MODEL
METHOD FOR PROCESSING IMAGE FOR INTELLIGENT HAIR LOSS DIAGNOSIS AND PROGNOSIS PREDICTION MODEL
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机译:用于智能脱发诊断和预后预测模型的图像的处理方法
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摘要
According to an embodiment of the present invention, in a method of processing an image for an intelligent hair loss diagnosis and prognosis prediction model performed by a hair loss diagnosis apparatus, when general photographing of photographing a patient's head with a camera in various directions is performed, , When a close-up photographing of a plurality of gross images generated through the general photographing of the camera is obtained, and the patient's head is photographed with a magnifying glass for each part, the close-up of the magnifying glass acquiring second image information that is a plurality of foliscope images generated through photographing; The first image is analyzed for each shooting direction, and the 1-1 image taken from the front direction, the 1-2 image taken from the right direction, the 1-3 image taken from the left direction, and the first image taken from the upper direction are analyzed. The 1-4 images and the 1-5 images taken from the rear direction are divided and classified, and the second image is analyzed for each part to be photographed. classifying the -2 image, the 2-3th image photographing the left part, the 2-4th image photographing the upper part, and the 2-5th image photographing the rear part; and generating first characteristic information indicating the number and thickness of hair in the front region based on the 2-1 image, and second characteristic indicating the number and thickness of hair in the right region based on the 2-2 image information is generated, and third characteristic information indicating the number and thickness of hairs in the left region is generated based on the 2-3 image, and the number and thickness of hair in the upper region are determined based on the 2-4 image. An image for an intelligent hair loss diagnosis and prognosis prediction model, comprising generating fourth characteristic information indicating and generating fifth characteristic information indicating the number and thickness of hair in the back region based on the 2-5 image A treatment method is provided.
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