Documentation du détecteur de Harris.

Code/FeatureExtraction/otbHarrisImageFilter.h

@@ -28,7 +28,23 @@
 namespace otb
 {
 
-/** \class HarrisFilter
+/** \class HarrisImageFilter
+ *   \brief This filter performs the computation of the Harris measure as followed.
+ *
+ * The derivative computation is performed by a
+ * convolution with the derivative of a Gaussian kernel of
+ * variance $\sigma_D$ (derivation scale) and
+ * the smoothing of the image is performed by convolving with a
+ * Gaussian kernel of variance $\sigma_I$ (integration
+ * scale). This allows the computation of the following matrix:
+ * \begin{equation}
+ * \mu(\mathbf{x},\sigma_I,\sigma_D) = \sigma_D^2 g(\sigma_I)\star
+ * \left[\begin{array}{cc} L_x^2(\mathbf{x},\sigma_D) &
+ * L_xL_y^2(\mathbf{x},\sigma_D)\\ L_xL_y^2(\mathbf{x},\sigma_D)&
+ * L_y^2(\mathbf{x},\sigma_D) \end{array}\right] \end{equation}
+ * The output of the detector is $$det(\mu) - \alpha trace^2(\mu)$$.
+ *
+ * The interest points can then be extracted with a thresholding filter.
  *
  */