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#ifndef REMOVE_BORDER_H
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#define REMOVE_BORDER_H
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#include <opencv2/opencv.hpp>
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#include <string>
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#include <vector>
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#include "../common.h"
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#include "../image_utilities.h"
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using namespace std;
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/**
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* 偏移参数结构体
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* 对应Python中的offset元组(tx, ty, ws, hs, ta)
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*/
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struct Offset {
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float tx; // x方向平移
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float ty; // y方向平移
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float ws; // 宽度缩放
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float hs; // 高度缩放
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float ta; // 角度调整
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Offset(float tx = 0.0f, float ty = 0.0f, float ws = 0.0f, float hs = 0.0f, float ta = 0.0f)
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: tx(tx), ty(ty), ws(ws), hs(hs), ta(ta) {}
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};
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/**
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* 根据边框内边缘获取去除边框所用掩膜
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*
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* args:
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* imgshape: 图片宽高信息
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* shapeType: 印章形状信息
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* filter_border: 边框内边缘
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* returns:
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* filterMask: 除边框外的印章掩码
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*/
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cv::Mat get_filterBorderMask(const cv::Size& imgshape, const string& shapeType, const cv::RotatedRect& filter_border);
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/**
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* 枚举offsets，找到最合适的边界
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*
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* args:
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* img: 图
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* shapeType: 形状类型
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* mrect: 一个最小包围矩形
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* offsets: 平移变换组合
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* inverse: True以背景点数量最大时为最佳，False以前景点数量最大时为最佳
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* bg_val: 背景值
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* returns:
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* best_mrect: 最佳边界，是一个最小包围矩形
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*/
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cv::RotatedRect _find_bestfit(const cv::Mat& img, const string& shapeType, const cv::RotatedRect& mrect,
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const vector<Offset>& offsets, bool inverse = false, int bg_val = 255);
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/**
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* 获取去除边框所用掩膜
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*
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* args:
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* img: 图
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* shapeinfo: 形状信息
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* bg_val: 图片背景色
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* returns:
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* filterMask: 用来去掉边框的掩膜mask
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* new_shapeinfo: 新形状信息
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* inner_border: 边框内边缘
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*/
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cv::Mat _getFilterMask(const cv::Mat& img, const ShapeInfo& shapeinfo, cv::RotatedRect& inner_border, int bg_val = 255);
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/**
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* 去除边框
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*
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* args:
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* img: 图片
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* shapeinfo: 形状信息
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* bg_val: 图片的背景颜色，默认是白底黑字, 如果是黑底白字的二值图，请设置bg_val为0
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* returns:
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* img1: 去掉边框后的图片
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* mask: 去掉边框所用掩膜
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* new_shapeinfo: 拟合得更好的形状
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* inner_border: 边框内边缘
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*/
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cv::Mat remove_border(const cv::Mat& img, const ShapeInfo& shapeinfo, cv::Mat& mask, ShapeInfo& new_shapeinfo, cv::RotatedRect& inner_border, int bg_val = 255);
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#endif // REMOVE_BORDER_H
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