1. D10K-6C01 Pengolahan Citra PCD-02 Dasar-dasar Pengolahan Citra
Program Studi S-1 Teknik Informatika
FMIPA Universitas Padjadjaran
Semester Genap

2. Apakah Citra Dijital
An image is an array, or a matrix, of square pixels (picture elements) arranged in columns and rows.
A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels
A digital image can be considered as a large array of discrete dots, each of which has a brightness associated with it. These dots are called picture elements, or more simply pixels.
We can think of an image as a function, f, from R2 to R: f( x, y ) gives the intensity at position ( x, y )

3. Apakah Pengolahan Citra Dijital
Pengolahan citra adalah bagian dari pengolahan sinyal yang difokuskan kepada pengolahan yang berkaitan dengan gambar-gambar
Image processing is the science of manipulating a picture
Tugas utama:
Improvement of pictorial information for human interpretation
Processing of image data for storage, transmission and representation for autonomous machine perception
Citra Orisinal
Pengolahan
Citra
Citra Hasil

4. Matematika Pengolahan Citra
An image processing operation typically defines a new image g in terms of an existing image f.
We can transform either the range of f.
Or the domain of f:
What kinds of operations can each perform?

5. Image Acquisition
Image acquisition can be defined as the action of retrieving an image from some source, usually a hardware-based source, so it can be passed through whatever processes need to occur afterward.
Characteristics:
First step
Real-time
Hardware: Camera, Scanner

6. Image Acquisition

7. Image Acquisition

8. Komponen Sistem Citra Dijital

9. Jenis-jenis citra dijital
Citra warna
Citra greylevel
Citra biner

10. Jenis Citra Lainnya

11. Jenis Citra Lainnya: Hyperspectral

12. Bidang yang Berkaitan Grafika komputer : proses penciptaan citra
Input/output
Citra
Deskripsi
Pengolahan citra
Visi komputer
Grafika komputer AI
Grafika komputer : proses penciptaan citra
Pengolahan citra : proses perbaikan maupun pemanipulasian lainnya terhadap citra – hasilnya berupa citra lagi
Visi komputer : analisis kandungan informasi yang terdapat pada citra

13. Leveling Pengolahan Citra
Low Level Process
Input: Image Output: Image
Examples: Noise removal, image sharpening
Mid Level Process
Input: Image Output: Attributes
Examples: Simple Object recognition, measurement, segmentation
High Level Process
Input: Attributes Output: Understanding
Examples: Advance object recognition, Scene understanding, autonomous navigation
Kuliah Pengolahan Citra hanya sampai disini
Give the analogy of the character recognition system.
Low Level: Cleaning up the image of some text
Mid level: Segmenting the text from the background and recognising individual characters
High level: Understanding what the text says

14. Key Stages in Digital Image Processing
Image Acquisition
Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression

15. Image Aquisition Image Acquisition Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression

16. Image Enhancement Image Acquisition Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression

17. Image Restoration Image Acquisition Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression

18. Morphological Processing
Image Restoration
Morphological Processing
Image Enhancement
Segmentation
Image Acquisition
Object Recognition
Representation & Description
Problem Domain
Colour Image Processing
Image Compression

19. Segmentation Image Acquisition Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression

20. Object Recognition Image Acquisition Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression

21. Representation & Description
Image Acquisition
Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression

22. Image Compression Image Acquisition Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression

23. Colour Image Processing
Image Restoration
Morphological Processing
Image Enhancement
Segmentation
Image Acquisition
Object Recognition
Representation & Description
Problem Domain
Colour Image Processing
Image Compression

24. Klasifikasi Algoritma Pengolahan Citra
Proses titik - Point Process
Modifies a pixel’s value based on that pixel’s original value or position
Proses area - Area process
Modifies a pixel’s value based on its original value and the value of neighboring pixels
Proses geometri - Geometric Process
Change the position or arrangement of the pixels
Proses rangka - Frame Process
Generate pixel values based on operation on two or more images