From 72d40d1ddac8d1eac505b696fbb537f0d976b57e Mon Sep 17 00:00:00 2001 From: Jordi Inglada <jordi.inglada@orfeo-toolbox.org> Date: Mon, 26 Jun 2006 14:12:37 +0000 Subject: [PATCH] Modif exemples --- SoftwareGuide/Latex/DataRepresentation.tex | 2 +- SoftwareGuide/Latex/FeatureExtraction.tex | 5 ++++- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/SoftwareGuide/Latex/DataRepresentation.tex b/SoftwareGuide/Latex/DataRepresentation.tex index 07469f0253..be10568b6e 100644 --- a/SoftwareGuide/Latex/DataRepresentation.tex +++ b/SoftwareGuide/Latex/DataRepresentation.tex @@ -17,7 +17,6 @@ dimension. \subsection{Creating an Image}\label{sec:CreatingAnImageSection} -\textbf{FIXME : update with otb::Image} \input{Image1.tex} In practice it is rare to allocate and initialize an image directly. @@ -52,6 +51,7 @@ a file. \subsection{Defining Other Image Attributes} \label{sec:DefiningOtherImageAttributes} +\textbf{FIXME : add examples!!} %% Geographic projections, etc? \subsection{RGB Images} diff --git a/SoftwareGuide/Latex/FeatureExtraction.tex b/SoftwareGuide/Latex/FeatureExtraction.tex index a3da2deb74..f9fe57e8a5 100644 --- a/SoftwareGuide/Latex/FeatureExtraction.tex +++ b/SoftwareGuide/Latex/FeatureExtraction.tex @@ -1,6 +1,9 @@ \chapter{Feature Extraction} \section{Introduction} -What is feature extraction +Under the term \em{Feature Extraction} we include several techniques +aiming to detect or extract informations of low level of abstraction +from images. These \em{features} can be objects : points, lines, +etc. They can also be measures : moments, textures, etc. \section{Interest Points} -- GitLab