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Image Acquisition Conditions - Coggle Diagram
Image Acquisition Conditions
Lighting Conditions
Natural Light
Artificial Light
Light Intensity
Light Direction
Shadows
Reflections
Effect on Processing
Image Brightness
Image Contrast
Noise Reduction
Feature Visibility
Camera Characteristics
CCD Sensor
CMOS Sensor
Resolution
Lens Quality
Aperture
Focus
Exposure Time
Effect on Processing
Image Sharpness
Image Clarity
Detail Preservation
Detection Accuracy
Environmental Conditions
Weather
Fog
Rain
Dust
Smoke
Temperature
Effect on Processing
Reduced Visibility
Increased Noise
Lower Recognition Accuracy
Segmentation Errors
Object Characteristics
Shape
Size
Texture
Color
Surface Reflectance
Effect on Processing
Feature Extraction
Edge Detection
Object Recognition
Classification
Image Quality
Resolution
Brightness
Contrast
Noise
Blur
Dynamic Range
Downstream Image Processing
Preprocessing
Noise Removal
Enhancement
Normalization
Segmentation
Feature Extraction
Object Detection
Classification
Scene Understanding
Application Performance
Medical Imaging
Accurate Disease Diagnosis
Autonomous Vehicles
Reliable Obstacle Detection
Face Recognition
Improved Identification Accuracy
Remote Sensing
Accurate Land Cover Mapping
Industrial Inspection
Defect Detection
Cause → Effect Relationships
Better Lighting
↓
Better Image Quality
↓
Accurate Feature Extraction
↓
Improved Application Performance
High Camera Resolution
↓
More Image Details
↓
Better Recognition Accuracy
Poor Environmental Conditions
↓
Noise & Blur
↓
Reduced Detection Accuracy
Good Object Visibility
↓
Better Segmentation
↓
Reliable Classification
Literature Connections
Gonzalez & Woods (2018)
Image Acquisition
Sampling
Image Quality
Preprocessing
Pratt (2007)
Camera Sensors
Optical Imaging
Illumination Effects
Sonka, Hlavac & Boyle (2015)
Feature Extraction
Segmentation
Object Recognition
Szeliski (2022)
Computer Vision Pipeline
Image Formation
Scene Understanding
Goodfellow et al. (2016)
Deep Learning
Image Classification
Recognition Performance