D10K-6C01 Pengolahan Citra PCD-02 Dasar-dasar Pengolahan Citra Program Studi S-1 Teknik Informatika FMIPA Universitas Padjadjaran Semester Genap 2015-2016

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 )

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

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?

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

Image Acquisition

Image Acquisition

Komponen Sistem Citra Dijital

Jenis-jenis citra dijital Citra warna Citra greylevel Citra biner

Jenis Citra Lainnya

Jenis Citra Lainnya: Hyperspectral

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

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

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

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

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

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

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

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

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

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

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

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

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