更新跳过空白页算法

hgdriver/ImageProcess/ImageApplyDiscardBlank.cpp

@@ -15,7 +15,7 @@ CImageApplyDiscardBlank::~CImageApplyDiscardBlank(void)
 
 void CImageApplyDiscardBlank::apply(cv::Mat& pDib, int side)
 {
-	if (apply(pDib, m_threshold, m_edge, m_devTh))
+	if (apply(pDib, m_threshold, m_edge, m_devTh, m_meanTh))
 		pDib.release();
 }
 
@@ -49,7 +49,7 @@ bool maxMinCompare(const cv::Mat& img, const cv::Mat& mask, double devTh, double
 	return (max - min) < devTh;
 }
 
-bool CImageApplyDiscardBlank::apply(const cv::Mat& pDib, double threshold, int edge, int blockSize, double devTh, double meanTh)
+bool CImageApplyDiscardBlank::apply(const cv::Mat& pDib, double threshold, int edge, double devTh, double meanTh)
 {
 	if (pDib.empty())
 		return true;
@@ -60,11 +60,11 @@ bool CImageApplyDiscardBlank::apply(const cv::Mat& pDib, double threshold, int e
 	cv::Mat threshold_img;
 	if (img_resize.channels() == 3)
 		cv::cvtColor(img_resize, threshold_img, cv::COLOR_BGR2GRAY);
-	cv::threshold(img_resize.channels() == 3 ? threshold_img : img_resize, threshold_img, threshold, 255, CV_THRESH_BINARY);
+	cv::threshold(img_resize.channels() == 3 ? threshold_img : img_resize, threshold_img, threshold, 255, cv::THRESH_BINARY);
 
 	std::vector<std::vector<cv::Point>> contours;
 	std::vector<cv::Vec4i> h1;
-	hg::findContours(threshold_img, contours, h1, cv::RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
+	hg::findContours(threshold_img, contours, h1, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
 
 	std::vector<cv::Point> contour;
 	for (const std::vector<cv::Point>& sub : contours)
@@ -83,7 +83,9 @@ bool CImageApplyDiscardBlank::apply(const cv::Mat& pDib, double threshold, int e
 	contours.push_back(contour);
 	cv::Mat mask = cv::Mat::zeros(img_resize.size(), CV_8UC1);
 	hg::fillPolys(mask, contours, cv::Scalar::all(255));
-	cv::blur(img_resize, img_resize, cv::Size(3, 3));
+	int kSize = (devTh / 20) / 2 * 2 + 1;
+	if (kSize > 1)
+		cv::blur(img_resize, img_resize, cv::Size(kSize, kSize));
 
 	bool b = true;
 	if (img_resize.channels() == 3)

hgdriver/ImageProcess/ImageApplyDiscardBlank.h

@@ -14,7 +14,11 @@
 				 2021/12/14 v1.3.2 重构算法。
 				 2021/12/15 v1.3.3 微调参数。
 				 2021/12/17 v1.3.4 增加背景色接口，实现对纯色纸张的空白页判定
- * 版本号：v1.3.4
+				 2022/09/07 v1.3.5 修复部分参数传递的BUG
+				 2022/09/19 v1.4   增加模糊处理，提高空白页的过滤能力
+				 2022/09/19 v1.4.1 调整模糊处理步骤
+				 2022/11/18 v1.4.2 调整默认参数
+ * 版本号：v1.4.2
 
  * ====================================================
  */
@@ -28,7 +32,16 @@ class GIMGPROC_LIBRARY_API CImageApplyDiscardBlank : public CImageApply
 {
 public:
 
-	CImageApplyDiscardBlank(double threshold = 40, int edge = 150, double devTh = 50, double meanTh = 200);
+	/// <summary>
+	/// 空白页识别
+	/// </summary>
+	/// <param name="pDib">原图</param>
+	/// <param name="threshold">轮廓阈值</param>
+	/// <param name="edge">边缘缩进</param>
+	/// <param name="devTh">笔迹判定阈值。该阈值越低，越容易判定存在笔迹。</param>
+	/// <param name="meanTh">文稿底色阈值。低于该阈值的文稿底色，直接视为非空白页。</param>
+	/// <returns></returns>
+	CImageApplyDiscardBlank(double threshold = 40, int edge = 50, double devTh = 30, double meanTh = 200);
 
 	virtual ~CImageApplyDiscardBlank(void);
 
@@ -36,7 +49,16 @@ public:
 
 	virtual void apply(std::vector<cv::Mat>& mats, bool isTwoSide);
 
-	static bool apply(const cv::Mat& pDib, double threshold = 40, int edge = 150, int blockSize = 10, double devTh = 50, double meanTh = 200);
+	/// <summary>
+	/// 空白页识别
+	/// </summary>
+	/// <param name="pDib">原图</param>
+	/// <param name="threshold">轮廓阈值</param>
+	/// <param name="edge">边缘缩进</param>
+	/// <param name="devTh">笔迹判定阈值。该阈值越低，越容易判定存在笔迹。</param>
+	/// <param name="meanTh">文稿底色阈值。低于该阈值的文稿底色，直接视为非空白页。</param>
+	/// <returns></returns>
+	static bool apply(const cv::Mat& pDib, double threshold = 40, int edge = 50, double devTh = 30, double meanTh = 200);
 
 private:
 	double m_threshold;

hgdriver/hgdev/hg_scanner.cpp

@@ -3537,7 +3537,7 @@ int hg_scanner::image_configuration(SCANCONF& ic)
 	ic.is_autocontrast = 0;					//无参数
 	ic.is_autocrop = (ic.papertype == TwSS::None || ic.papertype == TwSS::USStatement);
 	ic.is_autodiscradblank_normal = image_prc_param_.bits.page == PAGE_OMIT_EMPTY;
-	ic.discardblank_percent = omit_empty_level_ >= 70 ? 70 : omit_empty_level_;
+	ic.discardblank_percent = omit_empty_level_;
 	ic.is_autodiscradblank_vince = image_prc_param_.bits.page == PAGE_OMIT_EMPTY_RECEIPT;
 	ic.is_switchfrontback = image_prc_param_.bits.exchange;
 	ic.autodescrew = image_prc_param_.bits.automatic_skew;