151 lines
4.2 KiB
C++
151 lines
4.2 KiB
C++
#include "ImageApplyFadeBackGroundColor.h"
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CImageApplyFadeBackGroudColor::CImageApplyFadeBackGroudColor(int threshold, int offset, int range)
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: m_threshold(threshold)
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, m_offset(offset)
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, m_range(range)
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{
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memset(m_table1, 255, 768);
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memset(m_table1, 0, m_threshold * 3);
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memset(m_table2, 255, 256 * 3);
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for (size_t i = 0; i < 256; i++)
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m_table2[i] = i;
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}
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CImageApplyFadeBackGroudColor::~CImageApplyFadeBackGroudColor()
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{
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}
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void CImageApplyFadeBackGroudColor::apply(cv::Mat& pDib, int side)
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{
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if (pDib.channels() != 3)
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return;
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#if 0
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cv::Mat mask;
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cv::cvtColor(pDib, mask, cv::COLOR_BGR2GRAY);
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cv::threshold(mask, mask, m_threshold, 255, cv::THRESH_BINARY);
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//cv::imwrite("mask.jpg", mask);
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cv::Mat bgr[3];
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cv::split(pDib, bgr);
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int histSize = 255;
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float range[] = { 0, 255 };
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const float* histRange = { range };
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cv::Mat hist_bgr[3];
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cv::Scalar mean_bgr;
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for (size_t i = 0; i < 3; i++)
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{
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cv::calcHist(&bgr[i], 1, 0, mask, hist_bgr[i], 1, &histSize, &histRange);
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double maxVal = 0;
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cv::Point maxLoc;
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cv::minMaxLoc(hist_bgr[i], NULL, &maxVal, NULL, &maxLoc);
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mean_bgr[i] = maxLoc.y;
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}
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cv::add(pDib, cv::Scalar::all(255 + m_offset) - mean_bgr, pDib, mask);
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#else
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fadeBackground(pDib.data, pDib.step, pDib.rows, m_threshold, m_offset, m_range);
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#endif
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}
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void CImageApplyFadeBackGroudColor::fadeBackground(unsigned char* data, int bytesPerLine, int height, int threshold, int offset, int range)
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{
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int hist_bgr[3][256] = { 0 };
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int width = bytesPerLine / 3;
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unsigned char* mask = new unsigned char[width * height];
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unsigned char* ptr_data = data;
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unsigned char* ptr_mask = mask;
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//创建掩模mask,并且统计三通道的直方图
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for (size_t i = 0; i < height; i++)
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{
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int x = 0;
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unsigned char b = 0;
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for (size_t j = 0; j < width; j++)
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{
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b = m_table1[ptr_data[x] + ptr_data[x + 1] + ptr_data[x + 2]];
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ptr_mask[j] = b;
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for (size_t k = 0; k < 3; k++)
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hist_bgr[k][ptr_data[x + k] & b]++;
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x += 3;
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}
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ptr_data += bytesPerLine;
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ptr_mask += width;
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}
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//统计背景色
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int max_vals[3] = { 0 };
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int max_indexes[3] = { 0 };
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for (size_t i = 1; i < 256; i++)
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for (size_t j = 0; j < 3; j++)
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if (hist_bgr[j][i] > max_vals[j])
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{
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max_vals[j] = hist_bgr[j][i];
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max_indexes[j] = i;
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}
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//创建背景色误查值表,在误差±range范围内的颜色被同样视为背景色
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for (size_t i = 0; i < 3; i++)
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{
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memset(m_table_rgb[i], 0, 256);
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int start = cv::max(max_indexes[i] - range, 0);
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int end = cv::min(max_indexes[i] + range, 255);
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memset(m_table_rgb[i] + start, 255, end - start + 1);
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}
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//根据背景色误差查值表,更新掩模,排除背景色以外的内容
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ptr_data = data;
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ptr_mask = mask;
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for (size_t i = 0; i < height; i++)
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{
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int x = 0;
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for (size_t j = 0; j < width; j++)
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{
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ptr_mask[j] &= m_table_rgb[0][ptr_data[x]] & m_table_rgb[1][ptr_data[x + 1]] & m_table_rgb[2][ptr_data[x + 2]];
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x += 3;
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}
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ptr_data += bytesPerLine;
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ptr_mask += width;
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}
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//根据掩模,除背景色
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unsigned char offset_rgb[3];
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for (size_t i = 0; i < 3; i++)
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offset_rgb[i] = 255 + offset - max_indexes[i];
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ptr_data = data;
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ptr_mask = mask;
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for (size_t i = 0; i < height; i++)
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{
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int x = 0;
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for (size_t j = 0; j < width; j++)
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{
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for (size_t k = 0; k < 3; k++)
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ptr_data[x + k] = m_table2[(int)ptr_data[x + k] + (offset_rgb[k] & ptr_mask[j])];
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x += 3;
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}
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ptr_data += bytesPerLine;
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ptr_mask += width;
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}
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delete[] mask;
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}
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void CImageApplyFadeBackGroudColor::apply(std::vector<cv::Mat>& mats, bool isTwoSide)
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{
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(void)isTwoSide;
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int i = 0;
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for (cv::Mat& var : mats)
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if (!var.empty())
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{
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apply(var, i);
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i++;
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}
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}
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