#ifndef IMAGE_APPLY_AUTO_CROP_H
#define IMAGE_APPLY_AUTO_CROP_H

#include "ImageApply.h"

class  CImageApplyAutoCrop : public CImageApply
{
public:
	CImageApplyAutoCrop();

    /*
     * isCrop      [in]:自动幅面裁剪使能，true自动裁剪，false为固定裁剪
     * isDesaskew  [in]:自动纠偏使能，true自动纠偏，false为不纠偏
     * isFillBlank [in]:黑底填充使能，true为填充，false为不填充
     * fixedSize   [in]:固定幅面尺寸，当isCrop为false时生效，结果尺寸按fixedSize大小输出，单位像素
     * isConvex    [in]:黑底填充时的填充方式,true为凸多边形填充，false为凹多边形填充，默认true
     * isFillColor [in]:黑底填充时采用自适应色彩填充，false为白色填充，true为自适应文稿底色填充，默认false
     * threshold   [in]:二值化阈值，取值范围(0, 255)，默认40
     * noise       [in]:除噪像素，能够消除noise宽度的背景竖条纹干扰，默认40
     * indent      [in]:轮廓缩进，裁剪、纠偏或者黑底填充时，对探索到的纸张轮廓进行缩进indent像素，默认5
    */
	CImageApplyAutoCrop(bool isCrop, bool isDesaskew, bool isFillBlank, const cv::Size& fixedSize, bool isConvex = true, bool isFillColor = false, double threshold = 40, int noise = 40, int indent = 5);

	virtual ~CImageApplyAutoCrop();

	virtual void apply(cv::Mat& pDib, int side);

	virtual void apply(std::vector<cv::Mat>& mats, bool isTwoSide);

	bool isAutoCrop() { return m_isCrop; }

	bool isFillBlank() { return m_isFillBlank; }

	bool isDesaskew() { return m_isDesaskew; }

	bool isConvexHull() { return m_isConvexHull; }

	double threshold() { return m_threshold; }

	int noise() { return m_noise; }

	int indent() { return m_indent; }

	cv::Size fixedSize() { return m_fixedSize; }

	const std::vector<cv::Point>& maxContour() { return m_maxContour; }

	void setAutoCrop(bool enabled) { m_isCrop = enabled; }

	void setFillBlank(bool enabled) { m_isFillBlank = enabled; }

	void setDesaskew(bool enabled) { m_isDesaskew = enabled; }

	void setConvexHull(bool convex) { m_isConvexHull = convex; }

	void setThreshold(double value) { m_threshold = value; }

	void setNoise(int value) { m_noise = value; }

	void setIndent(int value) { m_indent = value; }

	void setFixedSize(cv::Size size) { m_fixedSize = size; }

private:
	cv::Scalar getBackGroudColor(const cv::Mat& image, int total);

	uchar getBackGroudChannelMean(const cv::Mat& gray, int total);

private:
	bool m_isCrop;
	bool m_isDesaskew;
	bool m_isFillBlank;
	bool m_isConvexHull;
	bool m_isFillColor;

	double m_threshold;
	int m_noise;
	int m_indent;
	cv::Size m_fixedSize;
	std::vector<cv::Point> m_maxContour;
};

#endif // !IMAGE_APPLY_AUTO_CROP_H