diff --git a/year4/semester1/CT404: Graphics & Image Processing/materials/week8/24_08_Image_Processing_Segmentation_ModelFitting.pdf b/year4/semester1/CT404: Graphics & Image Processing/materials/week8/24_08_Image_Processing_Segmentation_ModelFitting.pdf new file mode 100644 index 00000000..8279e241 Binary files /dev/null and b/year4/semester1/CT404: Graphics & Image Processing/materials/week8/24_08_Image_Processing_Segmentation_ModelFitting.pdf differ diff --git a/year4/semester1/CT404: Graphics & Image Processing/notes/CT404-Notes.pdf b/year4/semester1/CT404: Graphics & Image Processing/notes/CT404-Notes.pdf index 90806b74..72a1d568 100644 Binary files a/year4/semester1/CT404: Graphics & Image Processing/notes/CT404-Notes.pdf and b/year4/semester1/CT404: Graphics & Image Processing/notes/CT404-Notes.pdf differ diff --git a/year4/semester1/CT404: Graphics & Image Processing/notes/CT404-Notes.tex b/year4/semester1/CT404: Graphics & Image Processing/notes/CT404-Notes.tex index 14e841a7..dca53d74 100644 --- a/year4/semester1/CT404: Graphics & Image Processing/notes/CT404-Notes.tex +++ b/year4/semester1/CT404: Graphics & Image Processing/notes/CT404-Notes.tex @@ -2047,5 +2047,9 @@ The \textbf{Tomasi-Kanade/Shi-Tomasi detector} finds pixel values with large ``c A \textbf{feature descriptor} characterises detected features in a way that can be used for comparison across images. These include: SIFT features, GLOH (Gradient Location \& Histogram), HOG (Histogram of Gradients), etc. +\section{Segmentation \& Model Fitting} +\textbf{Image segmentation} is a bottom-up process that groups pixels in an image based on their low-level properties such as colour or texture. + + \end{document}