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Course Description
This course discusses data processing methodology in the form of images or 2D images, as well as the basic concepts of pattern recognition, which can be applied in various fields such as remote sensing, medical diagnosis, document processing, robotics, etc. Topics that will be discussed include basic digital image concepts, image transformation, quality improvement and restoration, color transformation, morphology, compression, segmentation, feature extraction and selection, clustering, image classification, performance evaluation, intelligent multimedia information processing, soft computing, as well as self-taught learning. Students will be trained with programming assignments
Program Objectives (PO)
- Mampu memahami konsep-konsep dasar pengolahan citra digital
- Mampu memahami algoritma pengolahan citra dan mengimplementasikannya dengan bahasa pemrograman
- Mampu menerapkan teknik-teknik pengolahan citra untuk aplikasi pengolahan citra yang lebih kompleks secara individu maupun dalam kelompok
- Mampu menerapkan algoritma pengolahan citra digital dalam menyelesaikan permasalahan bidang sains data
Aktifitas Pembelajaran
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Pertemuan 1 Konsep-konsep dasar dalam pengolahan citra digital -
Pertemuan 2 Proses peningkatan kualitas citra dalam domain spasial -
Pertemuan 3 Proses peningkatan kualitas citra dalam domain frekuensi -
Pertemuan 4 Proses restorasi dan rekonstruksi citra -
Pertemuan 5 -
Pertemuan 6 Proses restorasi dan rekonstruksi citra -
Pertemuan 7 Proses restorasi dan rekonstruksi citra -
Pertemuan 8 Konsep dasar dan metode pengolahan citra dalam permasalahan sederhana -
Pertemuan 9 Pemrosesan warna pada pengolahan citra digital -
Pertemuan 10 Mengenal proses kompresi citra -
Pertemuan 11 Proses transformasi pada pengolahan citra digital -
Pertemuan 12 Proses transformasi pada pengolahan citra digital -
Pertemuan 13 Konsep dan implementasi proses morfologi dalam pengolahan citra digital -
Pertemuan 14 -
Pertemuan 15 -
Pertemuan 16
References
Lecturer
Difficult Things About Education.
$75$10
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