Saysal Grnt leme Teknikleri Do Dr Mehmet Serdar

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Sayısal Görüntü İşleme Teknikleri Doç. Dr. Mehmet Serdar Güzel Slides are mainly adapted from

Sayısal Görüntü İşleme Teknikleri Doç. Dr. Mehmet Serdar Güzel Slides are mainly adapted from the following course page: http: //www. comp. dit. ie/bmacnamee and https: //www. tutorialspoint. com/dip/

Digital Image Processing Doç. Dr. Mehmet Serdar Güzel Slides are mainly adapted from the

Digital Image Processing Doç. Dr. Mehmet Serdar Güzel Slides are mainly adapted from the following course page: http: //www. comp. dit. ie/bmacnamee

Lecturer Instructor: Assoc. Prof Dr. Mehmet S Güzel Office hours: Tuesday, 1: 30 -2:

Lecturer Instructor: Assoc. Prof Dr. Mehmet S Güzel Office hours: Tuesday, 1: 30 -2: 30 pm Open door policy – don’t hesitate to stop by! Watch the course website Assignments, lab tutorials, lecture notes • slid e 3

Examples: Industrial Inspection Images taken from Gonzalez & Woods, Digital Image Processing (2002) Human

Examples: Industrial Inspection Images taken from Gonzalez & Woods, Digital Image Processing (2002) Human operators are expensive and changeable Industrial vision systems are used in all kinds of industries Can we trust them?

Examples: PCB Inspection Printed Circuit Board (PCB) inspection Machine inspection is used to determine

Examples: PCB Inspection Printed Circuit Board (PCB) inspection Machine inspection is used to determine that all components are present and that all solder joints are acceptable

Law Enforcement Images taken from Gonalez & Woods, Digital Image Processing (2002) Image processing

Law Enforcement Images taken from Gonalez & Woods, Digital Image Processing (2002) Image processing techniques are used by law enforcers Number plate recognition for speed cameras/automated toll systems Face recognition Deveolopment of CCTV images

Human Computer Interface Try to make human computer interfaces more natural Does Gesture recognition

Human Computer Interface Try to make human computer interfaces more natural Does Gesture recognition anyone remember the user interface from “Minority Report”?

Key Issues in Digital Image Processing Image Restoration Morphological Operations Image Enhancement Segmentation Image

Key Issues in Digital Image Processing Image Restoration Morphological Operations Image Enhancement Segmentation Image Acquirement Object Detection && Recognition Problem Field Representation Colour Image Processing Image Compression

Key Issues in Digital Image Processing Image Restoration Morphological Operations Image Enhancement Segmentation Image

Key Issues in Digital Image Processing Image Restoration Morphological Operations Image Enhancement Segmentation Image Acquirement Object Detection && Recognition Problem Field Representation Colour Image Processing Image Compression

Key Issues in Digital Image Processing Image Restoration Morphological Operations Image Enhancement Segmentation Image

Key Issues in Digital Image Processing Image Restoration Morphological Operations Image Enhancement Segmentation Image Acquirement Object Detection && Recognition Problem Field Representation Colour Image Processing Image Compression

Key Issues in Digital Image Processing Image Restoration Morphological Operations Image Enhancement Segmentation Image

Key Issues in Digital Image Processing Image Restoration Morphological Operations Image Enhancement Segmentation Image Acquirement Object Detection && Recognition Problem Field Representation Colour Image Processing Image Compression

Summary We have looked at: What is a digital image? What is digital image

Summary We have looked at: What is a digital image? What is digital image processing? History of digital image processing State of the art examples of digital image processing Key stages in digital image processing