Method _edge_based_match

ddddocr/core/slide_engine.py:236–274

基于边缘检测的滑块匹配 Args: target: 滑块图像 background: 背景图像 Returns: 匹配结果

(self, target: np.ndarray, background: np.ndarray)

            raise ImageProcessError(f"简单模板匹配失败: {str(e)}") from e
    
    def _edge_based_match(self, target: np.ndarray, background: np.ndarray) -> Dict[str, Any]:
        """
        基于边缘检测的滑块匹配
        
        Args:
            target: 滑块图像
            background: 背景图像
            
        Returns:
            匹配结果
        """
        try:
            # 边缘检测
            target_edges = cv2.Canny(target, 50, 150)
            background_edges = cv2.Canny(background, 50, 150)
            
            # 模板匹配
            result = cv2.matchTemplate(background_edges, target_edges, cv2.TM_CCOEFF_NORMED)
            
            # 找到最佳匹配位置
            _, max_val, _, max_loc = cv2.minMaxLoc(result)
            
            # 计算滑块中心位置
            if len(target.shape) == 3:
                target_h, target_w, _ = target.shape
            else:
                target_h, target_w = target.shape
            center_x = max_loc[0] + target_w // 2
            center_y = max_loc[1] + target_h // 2
            
            return {
                'target': [center_x, center_y],
                'target_x': center_x,
                'target_y': center_y,
                'confidence': float(max_val)
            }
            
        except Exception as e:
            raise ImageProcessError(f"边缘匹配失败: {str(e)}") from e
    
    def is_ready(self) -> bool:
        """