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#pragma once

#include <pcl/pcl_base.h>
#include <pcl/point_types.h>

namespace pcl {

template <typename PointT>
class kernel {
public:
  /// Different types of kernels available.
  enum KERNEL_ENUM {
    SOBEL_X,               //!< SOBEL_X
    SOBEL_Y,               //!< SOBEL_Y
    PREWITT_X,             //!< PREWITT_X
    PREWITT_Y,             //!< PREWITT_Y
    ROBERTS_X,             //!< ROBERTS_X
    ROBERTS_Y,             //!< ROBERTS_Y
    LOG,                   //!< LOG
    DERIVATIVE_CENTRAL_X,  //!< DERIVATIVE_CENTRAL_X
    DERIVATIVE_FORWARD_X,  //!< DERIVATIVE_FORWARD_X
    DERIVATIVE_BACKWARD_X, //!< DERIVATIVE_BACKWARD_X
    DERIVATIVE_CENTRAL_Y,  //!< DERIVATIVE_CENTRAL_Y
    DERIVATIVE_FORWARD_Y,  //!< DERIVATIVE_FORWARD_Y
    DERIVATIVE_BACKWARD_Y, //!< DERIVATIVE_BACKWARD_Y
    GAUSSIAN               //!< GAUSSIAN
  };

  int kernel_size_;
  float sigma_;
  KERNEL_ENUM kernel_type_;

  kernel() : kernel_size_(3), sigma_(1.0), kernel_type_(GAUSSIAN) {}

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * Helper function which returns the kernel selected by the kernel_type_ enum
   */
  void
  fetchKernel(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * Gaussian kernel with size (kernel_size_ x kernel_size_) and variance sigma_
   */
  void
  gaussianKernel(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * Laplacian of Gaussian kernel with size (kernel_size_ x kernel_size_) and variance
   * sigma_
   */
  void
  loGKernel(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * 3x3 Sobel kernel in the X direction
   */
  void
  sobelKernelX(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * 3x3 Prewitt kernel in the X direction
   */
  void
  prewittKernelX(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * 2x2 Roberts kernel in the X direction
   */
  void
  robertsKernelX(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * 3x3 Sobel kernel in the Y direction
   */
  void
  sobelKernelY(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * 3x3 Prewitt kernel in the Y direction
   */
  void
  prewittKernelY(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * 2x2 Roberts kernel in the Y direction
   */
  void
  robertsKernelY(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * kernel [-1 0 1]
   */
  void
  derivativeXCentralKernel(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * kernel [-1 0 1]'
   */
  void
  derivativeYCentralKernel(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * kernel [0 -1 1]
   */
  void
  derivativeXForwardKernel(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * kernel [0 -1 1]'
   */
  void
  derivativeYForwardKernel(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * kernel [-1 1 0]
   */
  void
  derivativeXBackwardKernel(pcl::PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel Kernel point cloud passed by reference
   *
   * kernel [-1 1 0]'
   */
  void
  derivativeYBackwardKernel(PointCloud<PointT>& kernel);

  /**
   *
   * @param kernel_type enum indicating the kernel type wanted
   *
   * select the kernel type.
   */
  void
  setKernelType(KERNEL_ENUM kernel_type);

  /**
   *
   * @param kernel_size kernel of size kernel_size x kernel_size is created(LoG and
   * Gaussian only)
   *
   * Setter function for kernel_size_
   */
  void
  setKernelSize(int kernel_size);

  /**
   *
   * @param kernel_sigma variance of the Gaussian or LoG kernels.
   *
   * Setter function for kernel_sigma_
   */
  void
  setKernelSigma(float kernel_sigma);
};

} // namespace pcl

#include <pcl/2d/impl/kernel.hpp>