使用Fisher分类器进行图像的监督分类

import cv2 as cv
import matplotlib.pyplot as plt
import re
from skimage import color
import PIL.Image as image


class Fisher:
    def __init__(self):
        self.Background = []
        self.Object_one = []
        self.Object_two = []
        self.Object_three = []
        self.test_one = []
        self.w_w = []

    def cal_cov_and_avg(self, samples):
        # 给定一个类别的数据，计算协方差矩阵和平均向量
        u1 = np.mean(samples, axis=0)
        cov_m = np.zeros((1, 1))
        for s in samples:
            t = s - u1
            # print(t.reshape(2, 1))
            # print(t.reshape(t.shape[0],1))
            t = t.reshape(1, 3)
            cov_m += np.dot(t, t.reshape(3, 1))
        return cov_m, u1

    def fisher_total(self):
        num = self.num_sample - 1

        print(num)
        if num == 1:
            self.w_w.append(self.fisher(self.Background, self.Object_one))
        if num == 2:
            self.Object_all = []
            for i in range(len(self.Object_one)):
                self.Object_all.append(self.Object_one[i])
            for i in range(len(self.Object_two)):
                self.Object_all.append(self.Object_two[i])
            self.w_w.append(self.fisher(self.Background, self.Object_all))
            self.w_w.append(self.fisher(self.Object_one, self.Object_two))
        if num == 3:
            self.Object_all = []
            for i in range(len(self.Object_one)):
                self.Object_all.append(self.Object_one[i])
            for i in range(len(self.Object_two)):
                self.Object_all.append(self.Object_two[i])
            for i in range(len(self.Object_three)):
                self.Object_all.append(self.Object_three[i])

            self.Object_all1 = []
            for i in range(len(self.Object_two)):
                self.Object_all1.append(self.Object_two[i])
            for i in range(len(self.Object_three)):
                self.Object_all1.append(self.Object_three[i])
            self.w_w.append(self.fisher(self.Background, self.Object_all))
            self.w_w.append(self.fisher(self.Object_one, self.Object_all1))
            self.w_w.append(self.fisher(self.Object_two, self.Object_three))
        print(self.w_w)