Please enable JavaScript.
Coggle requires JavaScript to display documents.
Computer Vision System - Coggle Diagram
Computer Vision System
Image Acquisition
Real-World Scene
Objects
Illumination
Environment
Camera System
CCD Sensor
CMOS Sensor
Lens
Image Formation
Focus
Exposure
Optical Image
Contribution
Captures the real-world scene as a digital image
Image Preprocessing
Noise Removal
Median Filter
Gaussian Filter
Image Enhancement
Contrast Enhancement
Brightness Adjustment
Sharpening
Image Normalization
Resizing
Histogram Equalization
Contribution
Improves image quality for analysis
Feature Extraction
Edge Detection
Sobel
Canny
Shape Features
Contours
Corners
Texture Features
Histogram
GLCM
Color Features
RGB
HSV
Contribution
Extracts meaningful visual characteristics
Image Segmentation
Thresholding
Region Growing
Edge-Based Segmentation
Clustering
Contribution
Separates objects from the background
Object Recognition & Classification
Pattern Recognition
Machine Learning
SVM
Decision Tree
Deep Learning
CNN
Vision Transformer
Contribution
Identifies and classifies objects
Decision Making
Object Detection
Scene Understanding
Tracking
Prediction
Contribution
Produces meaningful outputs for intelligent systems
Applications
Medical Imaging
Autonomous Vehicles
Face Recognition
Surveillance
Robotics
Agriculture
Literature Connections
Gonzalez & Woods (2018)
Image Acquisition & Preprocessing
Pratt (2007)
Imaging Hardware & Sensors
Sonka, Hlavac & Boyle (2015)
Feature Extraction & Segmentation
Szeliski (2022)
Computer Vision Pipeline
Goodfellow et al. (2016)
Deep Learning for Object Recognition