34 #define M_PI 3.14159265358979323846
55 int coeff_cnt,
float *coeff) {
57 int input_range = (input.size() - 1);
58 vector<float> resamp(coeff_cnt);
59 for (
int samp_idx = 0; samp_idx < coeff_cnt; samp_idx++) {
61 float samp_pos = input_range *
62 (1 + cos(M_PI * (samp_idx + 0.5) / coeff_cnt)) / 2;
64 int samp_start =
static_cast<int>(samp_pos);
65 int samp_end =
static_cast<int>(samp_pos + 0.5);
66 float func_delta = input[samp_end] - input[samp_start];
67 resamp[samp_idx] = input[samp_start] +
68 ((samp_pos - samp_start) * func_delta);
71 float normalizer = 2.0 / coeff_cnt;
72 for (
int coeff_idx = 0; coeff_idx < coeff_cnt; coeff_idx++, coeff++) {
74 for (
int samp_idx = 0; samp_idx < coeff_cnt; samp_idx++) {
75 sum += resamp[samp_idx] * cos(M_PI * coeff_idx * (samp_idx + 0.5) /
78 (*coeff) = (normalizer * sum);
93 unsigned char *raw_data = char_samp->
RawData();
94 int stride = char_samp->
Stride();
96 int word_hgt = (255 * (char_samp->
Top() + char_samp->
Height()) /
99 vector<float> left_profile(word_hgt, 0.0);
100 vector<float> right_profile(word_hgt, 0.0);
101 unsigned char *line_data = raw_data;
102 for (
int y = 0; y < char_samp->
Height(); y++, line_data += stride) {
103 int min_x = char_samp->
Width();
105 for (
int x = 0; x < char_samp->
Width(); x++) {
106 if (line_data[x] == 0) {
110 left_profile[char_samp->
Top() + y] =
111 1.0 * (min_x == char_samp->
Width() ? 0 : (min_x + 1)) /
113 right_profile[char_samp->
Top() + y] =
114 1.0 * (max_x == -1 ? 0 : char_samp->
Width() - max_x) /
119 vector<float> top_profile(char_samp->
Width(), 0);
120 vector<float> bottom_profile(char_samp->
Width(), 0);
121 for (
int x = 0; x < char_samp->
Width(); x++) {
122 int min_y = word_hgt;
124 line_data = raw_data;
125 for (
int y = 0; y < char_samp->
Height(); y++, line_data += stride) {
126 if (line_data[x] == 0) {
130 top_profile[x] = 1.0 * (min_y == word_hgt ? 0 : (min_y + 1)) / word_hgt;
131 bottom_profile[x] = 1.0 * (max_y == -1 ? 0 : (word_hgt - max_y)) / word_hgt;