People Innovation Excellence

MACHINE VISION (3 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: Understand basic knowledge about human and machine visual system; Understand image filtering process; Understand feature detectionand segmentation process; Understand recognition process; Understand matching process; Understand application of machine vision in real life

Topics:

  1. Introduction;
  2. Human Visual System and Digital Camera;
  3. Light and Color;
  4. Image Filtering (1);
  5. Image Filtering (2);
  6. Feature Detection (1);
  7. Feature Detection (2);
  8. Feature Detection (3);
  9. Recognition (1);
  10. Recognition (2);
  11. Matching;
  12. Application

Published at : Updated

Periksa Browser Anda

Check Your Browser

Situs ini tidak lagi mendukung penggunaan browser dengan teknologi tertinggal.

Apabila Anda melihat pesan ini, berarti Anda masih menggunakan browser Internet Explorer seri 8 / 7 / 6 / ...

Sebagai informasi, browser yang anda gunakan ini tidaklah aman dan tidak dapat menampilkan teknologi CSS terakhir yang dapat membuat sebuah situs tampil lebih baik. Bahkan Microsoft sebagai pembuatnya, telah merekomendasikan agar menggunakan browser yang lebih modern.

Untuk tampilan yang lebih baik, gunakan salah satu browser berikut. Download dan Install, seluruhnya gratis untuk digunakan.

We're Moving Forward.

This Site Is No Longer Supporting Out-of Date Browser.

If you are viewing this message, it means that you are currently using Internet Explorer 8 / 7 / 6 / below to access this site. FYI, it is unsafe and unable to render the latest CSS improvements. Even Microsoft, its creator, wants you to install more modern browser.

Best viewed with one of these browser instead. It is totally free.

  1. Google Chrome
  2. Mozilla Firefox
  3. Opera
  4. Internet Explorer 9
Close