Bahan Kajian (Materi Ajar Mata Kuliah)

Temen-temen CVisioner berikut ini  informasi mengenai bahan-bahan kajian pada mata kuliah selama satu semester. Bahan kajian adalah konten esensial yang dicapai pada satu periode pembelajaran (babakan).

Metode Filtering dan Enhancement Techniques

  • Low-pass filter
  • High-pass filter
  • Contrast Stretching and Histogram Equalization
  • Interpolation method

Image Segmentation

  • Contour Segmentation: Canny Edge Detection
  • Otsu’s thresholding
  • Region-based segmentation using watershed and Mean-Shift method

Feature Extraction

  • Color-based feature descriptors:  metode color histograms atau color moments
  • Texture-based feature descriptors: teknik local binary patterns (LBP),SIFT
  • Shape Feature descriptor using Chain Code and SURF

Camera Model and Video Analysis

  • Pairwise and global alignment
  • Image stitching
  • Motion-based feature descriptors: optical flow

Object Recognition and Neural network

  • Supervised Learning and Unsupervised Learning
  • Convolutional Neural Networks (CNN)
  • Architectures of CNN