-
Notifications
You must be signed in to change notification settings - Fork 3
/
calculate_interest_points_distribution.m
133 lines (121 loc) · 4.13 KB
/
calculate_interest_points_distribution.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
function [E1,E2,E3,E4,E5,F1,F2,F3,F4,F5,D1,D2,D3,D4,D5] = calculate_interest_points_distribution(image)
%% 计算每个cell的两个参数
% image_percent: cell中非零元素占上一层cell中非零元素的比例
% cell_percent: cell中非零元素占当前层cell元素总数的比例
% 输入参数：经过边缘提取后的image或者sketch
% 输出参数：E1,E2,E3,E4，E5（每个矩阵中都保存了对应的参数）,矩阵E中第一行是image_percent,第二行是cell_percent
%% 0.原始图像,未分割
C = image;
D = length(find(C>0));
Q = matrix_expand(D);
%% 1.分割为：2*2 每个大小为：128*128
C1 = mat2cell(image,[128 128],[128 128]);
D1 = []; % 记录当前cell中非零元素的个数
E1 = []; % 记录当前cell的image_percent
F1 = []; % 记录当前cell的cell_percent
for i=1:2
for j=1:2
count_interest_point = length(find(C1{i,j}>0)); % 计算当前cell中非零元素的个数
D1(i,j)= count_interest_point;
if Q(i,j)==0 % 上一层cell中全为0
image_percent = -1;
cell_percent = -1;
else
image_percent = D1(i,j) / Q(i,j); % 计算当前cell的两个参数....Q(i,j)可能为0
cell_percent = D1(i,j) / (128*128);
end
E1 = [E1 image_percent];
F1 = [F1 cell_percent];
% fprintf('C1 %d %d: %d\n',i,j,count_interest_point);
end
end
Q1 = matrix_expand(D1); % 扩展D1用于下一步计算
%% 2.分割为：4*4 每个大小为：64*64
C2 = mat2cell(image,[64 64 64 64],[64 64 64 64]);
D2 = [];
E2 = [];
F2 = [];
for i=1:4
for j=1:4
count_interest_point = length(find(C2{i,j}>0)); % 计算当前cell中非零元素的个数
D2(i,j)= count_interest_point;
if Q1(i,j) == 0
image_percent = -1;
cell_percent = -1;
else
image_percent = D2(i,j) / Q1(i,j); % 计算当前cell的两个参数
cell_percent = D2(i,j) / (64*64);
end
E2 = [E2 image_percent];
F2 = [F2 cell_percent];
% fprintf('C2 %d %d: %d\n',i,j,count_interest_point);
end
end
Q2 = matrix_expand(D2); % 扩展D2用于下一步计算
%% 3.分割为：8*8 每个大小为：32*32
C3 = mat2cell(image,[32 32 32 32 32 32 32 32],[32 32 32 32 32 32 32 32]);
D3 = [];
E3 = [];
F3 = [];
for i=1:8
for j=1:8
count_interest_point = length(find(C3{i,j}>0));
D3(i,j)= count_interest_point;
if Q2(i,j)==0
image_percent = -1;
cell_percent = -1;
else
image_percent = D3(i,j) / Q2(i,j); % 计算当前cell的两个参数
cell_percent = D3(i,j) / (32*32);
end
E3 = [E3 image_percent];
F3 = [F3 cell_percent];
% fprintf('C3 %d %d: %d\n',i,j,count_interest_point);
end
end
Q3 = matrix_expand(D3); % 扩展D3用于下一步计算
%% 4.分割为: 16*16 每个大小为：16*16
C4 = mat2cell(image,[16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16],[16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]);
D4 = [];
E4 = [];
F4 = [];
for i=1:16
for j=1:16
count_interest_point = length(find(C4{i,j}>0));
D4(i,j)= count_interest_point;
if Q3(i,j) == 0
image_percent = -1;
cell_percent = -1;
else
image_percent = D4(i,j) / Q3(i,j); % 计算当前cell的两个参数
cell_percent = D4(i,j) / (16*16);
end
E4 = [E4 image_percent];
F4 = [F4 cell_percent];
% fprintf('C4 %d %d: %d\n',i,j,count_interest_point);
end
end
Q4 = matrix_expand(D4); % 扩展D4用于下一步计算
%% 5.分割为：32*32 每个大小为：8*8
C5 = mat2cell(image,[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8]);
D5 = [];
E5 = [];
F5 = [];
for i=1:32
for j=1:32
count_interest_point = length(find(C5{i,j}>0));
D5(i,j)= count_interest_point;
if Q4(i,j) == 0
image_percent = -1;
cell_percent = -1;
else
image_percent = D5(i,j) / Q4(i,j); % 计算当前cell的两个参数
cell_percent = D5(i,j) / (8*8);
end
E5 = [E5 image_percent];
F5 = [F5 cell_percent];
% fprintf('C5 %d %d: %d\n',i,j,count_interest_point);
end
end
%%
end % end of function