-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathHistogram4.cpp
197 lines (193 loc) · 6.04 KB
/
Histogram4.cpp
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
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
#include "Histogram4.h"
using namespace std;
Histogram4::Histogram4(Image &im){
// img = im;
for (int i = 0; i < 256; ++i){
hist_count.push_back(0);
}
c_arr[0] = new Color(255,0,0);
c_arr[1] = new Color(0,255,0);
c_arr[2] = new Color(0,0,255);
c_arr[3] = new Color(255,255,0);
c_arr[4] = new Color(255,0,255);
c_arr[5] = new Color(0,255,255);
c_arr[6] = new Color(0,0,0);
// cout << im.get_height()<<' '<<im.get_width();
get_brightness(im);
int size = get_minima(im);
if(size > 0){
color_segments(im);
write(im);
}
else{
take_reflection(im);
}
}
Histogram4::~Histogram4(){
}
// Histogram4::Histogram4(vector<vector<Pixel*> > &hist_data,
// vector<int> &hist_count):hist_data(hist_data),hist_count(hist_count){
// }
void Histogram4::task4(Image &im){
get_brightness(im);
int size = get_minima(im);
if(size > 2){
color_segments(im);
write(im);
}
else{
take_reflection(im);
}
}
float Histogram4::task6(Image &img){
return medianThreshold(img);
}
void Histogram4::get_brightness(Image &img){
for (int i = 0; i < img.get_height(); i++){
for (int j = 0; j < img.get_width(); j++) {
Pixel &pix = img.get_ptr()[i][j];
int brightness = (pix.get_color().get_red() + pix.get_color().get_green() + pix.get_color().get_blue()) / 3;
hist_data[brightness].push_back(&pix);
hist_count[brightness]++;
}
}
// for (int i = 0; i < 256; ++i){
// cout<<hist_count[i]<<'\n';
// }
}
int Histogram4::get_minima(Image &img){
minimas.push_back(0);
int flag;
for (int i = 1; i < 255; ++i){
// for(int j = 1; j < 2 ; j++){
// if(hist_count[i] < hist_count[i-j] && hist_count[i] <= hist_count[i+j])
// continue;
// else
// flag = 1;
// }
// if(flag == 0)
// minimas.push_back(i);
if(hist_count[i-1] > hist_count[i] && hist_count[i+1] > hist_count[i]){
minimas.push_back(i);
}
}
minimas.push_back(255);
// cout<<'\n' << minimas.size()<<'\n';
// for (std::vector<int>::iterator it = minimas.begin() ; it != minimas.end(); ++it){
// cout << (*it)<< ' ';
// }
return minimas.size();
}
float Histogram4::medianThreshold(Image &img){
int height = img.get_height();
int width = img.get_width();
vector < vector <int> > brightness(height,vector <int> (width));
for(int i = 0; i<height; i++)
{
for(int j = 0; j<width; j++)
{
brightness[i][j] = (img.get_Color_x_y(i,j).get_red() + img.get_Color_x_y(i,j).get_blue() + img.get_Color_x_y(i,j).get_green())/3;
}
}
for(int i=0;i<256;i++){
hist_count.push_back(0);
}
for(int i = 0; i<height; i++)
{
for(int j = 0; j<width; j++)
{
hist_count[brightness[i][j]]++;
}
}
for(int i = 5; i<251; i++)
{
int flag = 0;
for(int j = 1; j<5; j++)
{
if(hist_count[i] < hist_count[i-j] && hist_count[i] <= hist_count[i+j])
{
continue;
}
else
{
flag = 1;
}
}
if(flag == 0)
{
hist_count.push_back(i);
}
}
int size = minimas.size();
// sort(.begin() , threshold.end());
if(size == 2){
return 122;
}
else if((size)%2 == 0)
return (minimas[size/2] + minimas[size/2 -1])/2;
else
return minimas[size/2];
}
void Histogram4::take_reflection(Image &img){
Image ref(img.get_width(),img.get_height());
for (int i = 0; i < img.get_height(); i++){
for (int j = 0,k = img.get_width(); j < img.get_width(); j++,k--){
ref.get_ptr()[i][j].set_color(img.get_ptr()[i][k].get_color());
// Pixel &pix = img.get_ptr()[i][j];
// int brightness = (pix.get_color().get_red() + pix.get_color().get_green() + pix.get_color().get_blue()) / 3;
// hist_data[brightness].push_back(&pix);
// hist_count[brightness]++;
}
}
CompositeImage cmp(img,ref,0.4);
write(cmp);
}
vector<int> Histogram4::return_minimas(){
return minimas;
}
void Histogram4::color_segments(Image &img){
// cout<<'\n'<<minimas.size()<<'\n';
for (int i = 0; i < 6 && i < minimas.size(); ++i){
// cout<<minimas[i]<<'\n';
for (int j = minimas[i]; j < minimas[i+1]; ++j){
// cout <<i << ' '<< j << '\n';
for (std::vector<Pixel*>::iterator it = hist_data[j].begin() ; it != hist_data[j].end(); ++it){
(*it) -> set_color(*(c_arr[i]));
// cout << (*it) -> get_color().get_red() << ' '<<(*it) -> get_color().get_green() << ' '<<(*it) -> get_color().get_blue() << '\n';
}
}
}
if(minimas.size() > 6){
for (int j = minimas[6]; j < 256; ++j){
for (std::vector<Pixel*>::iterator it = hist_data[j].begin() ; it != hist_data[j].end(); ++it){
(*it) -> set_color(*(c_arr[6]));
}
}
}
}
void Histogram4::write(Image &im){
ofstream output("output_task4_IMT2016126.ppm");
output << "P3" << endl << im.get_width()<<' '<<im.get_height()<<endl<<255<<endl;
// cout << '\n' << h.get_img().get_height() << ' '<< h.get_img().get_width()<<'\n';
for (int i = 0; i < im.get_height(); i++){
for (int j = 0; j < im.get_width(); j++){
Color col = im.get_Color_x_y(i,j);
// cout<< i << ' '<<j << ' '<<col;
output << col.get_red()<<' '<<col.get_green()<<' '<<col.get_blue()<<' ';
}
}
}
ostream& operator << (ostream& os , Histogram4 h){
ofstream output("imt2016126.ppm");
output << "P3" << endl << h.get_img().get_width()<<' '<<h.get_img().get_height()<<endl<<255<<endl;
// cout << '\n' << h.get_img().get_height() << ' '<< h.get_img().get_width()<<'\n';
for (int i = 0; i < h.get_img().get_height(); i++){
for (int j = 0; j < h.get_img().get_width(); j++){
Color col = h.get_img().get_Color_x_y(i,j);
cout<< i << ' '<<j << ' '<<col;
output << col.get_red()<<' '<<col.get_green()<<' '<<col.get_blue()<<' ';
}
}
// output << h.get_img();
return os;
}