116 lines
4.4 KiB
C
116 lines
4.4 KiB
C
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/*
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* ====================================================
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* 功能：Mark点定位裁剪。识别试卷中的mark点，进行纠偏裁剪。该功能不能完全独立使用，因为可能会识别失败，然后需要继续用传统裁剪纠偏进行补充。
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* 作者：刘丁维
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* 生成时间：2020/5/22
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* 最近修改时间：2020/5/22 v1.0
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2020/7/29 v1.1 优化Mark点识别，以及文稿方向判定
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2020/7/30 v1.1.1 优化Mark点识别，以及文稿方向判定
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2020/8/3 v1.2 针对七天，添加三Mark点识别文稿方向，原来的方式定义为多边识别文稿方向
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2020/8/12 v1.3 针对七天，添加了条码判断算法，用于判定试卷是否为指定试卷。该条码只是粗略识别是否是条码，而不进行准确识别。
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apply接口增加barCode参数，用于是否开启粗判断条码功能
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2020/8/12 v1.4 针对七天，添加裁剪接口，可进行裁剪与不裁剪两种选择
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* 版本号：v1.4
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* ====================================================
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*/
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#ifndef IMAGEMARKCROPAPPLY_H
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#define IMAGEMARKCROPAPPLY_H
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#include "ImageApply.h"
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class GIMGPROC_LIBRARY_API CImageApplyMarkCrop
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{
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public:
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//识别文稿方向方式
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enum DirectionMethod
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{
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Trilateral_7Net, //三边定位文稿方向（针对七天需求）
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Multilateral //多边定位文稿方向
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};
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enum DPI : ushort
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{
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DPI_200 = 200,
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DPI_300 = 300
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};
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enum DeviceModel
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{
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G400 = 2,
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G300 = 3
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};
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enum Orientation
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{
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Default = 0,
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Left_RT, //多边文稿方向识别时靠左为正；7天3mark识别时，缺角在右上为正
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Top_RB, //多边文稿方向识别时靠上为正；7天3mark识别时，缺角在右下为正
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Right_LB, //多边文稿方向识别时靠右为正；7天3mark识别时，缺角在左下为正
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Bottom_LT //多边文稿方向识别时靠下为正；7天3mark识别时，缺角在左上为正
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};
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public:
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CImageApplyMarkCrop(DeviceModel device, bool isCropped = true, double threshold = 20, int noise = 40, DPI dpi = DPI::DPI_200, DirectionMethod direction = DirectionMethod::Multilateral);
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/*
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* src [in]: 原图
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* dst [out]:处理成功时，返回的结果图像
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* markOri [in]: 文稿方向判定方式
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* barCode [in]: 是否判断条形码，该功能只针对Trilateral_7Net模式
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* angle [out]:返回文稿方向偏转角度。有0、90、180、270四种情况
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* 返回值： 0：成功；
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-1：原图为空，或者无法找到图片轮廓（纯黑图会报该错误）；
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-2：mark小于3个
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-3：选择Multilateral模式时，mark点小于4个
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-4：识别条形码时，目标图像过小，无法包含条形码
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-5：无条形码
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*/
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int apply(const cv::Mat& src, cv::Mat& dst, Orientation markOri, bool barCode, int& angle);
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inline DeviceModel getDeviceModel() { return m_device; }
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inline void setDeviceModel(DeviceModel device) { m_device = device; }
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inline bool isCropped() { return m_b_isCropped; }
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inline void setCropped(bool cropped) { m_b_isCropped = cropped; }
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inline double getThreshold() { return m_threshold; }
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inline void setThreshold(double threshold) { m_threshold = threshold; }
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inline int getNoise() { return m_noise; }
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inline void setNoise(int noise) { m_noise = noise; }
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inline DPI getDPI() { return m_dpi; }
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inline void setDPI(DPI dpi) { m_dpi = dpi; }
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inline const cv::Range getSizeRange() { return m_range; }
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inline void setSizeRange(const cv::Range& range) { m_range = range; }
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inline void setSizeRange(int low, int up) { m_range = cv::Range(low, up); }
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private:
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void findMarks(const std::vector<std::vector<cv::Point>>& contours, const cv::RotatedRect& region, const cv::Range& range,
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std::vector<std::vector<cv::Point>>& marks, std::vector<cv::RotatedRect>& rrect);
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bool isContainBarCode(const cv::Mat& image);
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private:
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DeviceModel m_device;
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bool m_b_isCropped;
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double m_threshold;
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int m_noise;
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DPI m_dpi;
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cv::Range m_range;
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DirectionMethod m_direction;
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};
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#endif // IMAGEMARKCROPAPPLY_H
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