Yuz tasvirini Gabor filtri asosida segmentlash

Abstract

As one of the important parts of face recognition, face image segmentation has become a major focus of human feature recognition. In this paper, the AdaBoost algorithm and Gabor texture analysis algorithm are used to segment an image containing multiple faces, which effectively reduces the false detection rate in face image segmentation. In face image segmentation, the image containing face data is first analyzed by texture using the Gabor algorithm, and different thresholds are set for different skin-like areas, thereby removing skin-like areas in the background image. Then, the face areas are detected using the AdaBoost algorithm, and the detected face areas are segmented. Experiments have shown that the proposed method can quickly and accurately segment faces in the image, and effectively reduce the loss and false detection rates.Yuzni tanib olish muhim qismlaridan biri sifatida yuz tasvirini segmentatsiyalash inson belgilarini aniqlashning asosiy yo‘nalishiga aylangan. Ushbu maqolada AdaBoost algoritmi va Gabor tekstura tahlili algoritmidan foydalanilib, bir nechta yuzlarni o‘z ichiga olgan tasvir segmentatsiyalanadi, bu esa yuz tasvirini segmentatsiyalashdagi noto‘g‘ri aniqlash darajasini samarali kamaytirilgan, yuz tasvirini segmentatsiyalashda, yuz ma’lumotlarini o‘z ichiga olgan tasvir avval Gabor algoritmi orqali tekstura bo‘yicha tahlil qilinadi va turli teriga o‘xshash sohalarni turli bo‘sag‘alari o‘rnatiladi, bu orqali tasvirni fon ma’lumotlaridagi teriga o‘xshash sohalar olib tashlanadi. So‘ngra AdaBoost algoritmi yordamida yuz sohalari aniqlanadi va aniqlangan yuz sohalari segmentatsiyalanadi. Tajribalar taklif etilgan usulni tasvirdagi yuzlarni tez va aniq segmentatsiyalay olishi hamda yo‘qotish va noto‘g‘ri aniqlash darajasini samarali kamaytirishini ko‘rsatdi