一、概述

二、模块

2.1 Image Acquisition

Basic Concept

  • Open Image Acquisition Device
  • Acquire Image(s)
  • Close Image Acquisition Device

  • A First Example

    Extended Concept

  • Open Image Acquisition Device

  • Set Parameters

  • Acquire Image(s)

    Programming Examples

    Selecting Operators

  • Open Image Acquisiton Device

  • Set Parameters
  • Acquire Image(s)

  • Close Image Acquisition Device

    Tips & Tricks

  • Direct Access to External Images in Memory

  • Unsupported Image Acquisition Devices

    2.2 Region Of Interest

    Basic Concept

  • Create Region

  • Create ROI

  • A First Example

    Extended Concept

  • Segment Image(s)

  • Draw Region
  • Create Region
  • Process Regions
  • Align ROIs or Images
  • Create ROI

  • Visualize Results

    Programming Examples

  • Processing Inside a User Defined Region

  • Interactive Partical Filitering of an Image

  • Inspecting the Contours of a Tool

    Selecting Operators

  • Segment Image(s)

  • Draw Region
  • Create Region
  • Process Regions
  • Align ROIs or Images
  • Create ROI

  • Visualize Results

    Relation to Other Methods

    Tips & Tricks

  • Reuse ROI

  • Effect of ROI Shape on Speed UP

  • Binary Images

    2.3 Blob Analysis

    Basic Concept

  • Acquire Image(s)

  • Segment Image(s)
  • Extract Features

  • A First Example

    Extended Concept

  • Use Region of Interest

  • Align ROIs or Images
  • Rectify Image(s)
  • Prepocess Image(s) (Filtering)
  • Extract Segmentation Parameters
  • Segment Image(s)
  • Process Regiions
  • Extract Features
  • Transform Results Into World Coordinates

  • Visualize Results

    Programming Examples

  • Crystals

  • Atoms
  • Analyzing Particles
  • Extracting Forest Features from Color Infrared Image
  • Checking a Boundary for Fins
  • Bonding Balls

  • Surface Scratches

    Selecting Operators

  • Acquire Image(s)

  • Use Region of Interest
  • Align ROIs or Images
  • Rectify Image(s)
  • Preprocess Image(s)(Filtering)
  • Extract Segmentation Parameters
  • Segment Image(s)
  • Process Regions
  • Extract Features
  • Transform Results Into World Coordinates

  • Visualize Results

    Relation to Other Methors

  • Methods that are Useful for Blob Analysis

  • Methods that are Using Blob Analysis

  • Alternatives to Blob Analysis

    Tips & Tricks

  • Connected Components

  • Speed Up

    Advanced Topics

  • Line Scan Cameras

  • High Accuracy

    2.4 1D Measuring

    Basic Concept

  • Acquire Image(s)

  • Create Measure Object

  • Measure

    Extended Concept

  • Radiometrically Calibrate Image(s)

  • Align ROIs or Images
  • Rectify Image(s)
  • Create Measure Object
  • Transform Results Into World Coordinates

  • Visualize Results

    Programming Example

  • Inspecting a Fuse

  • Inspect Cast Part
  • Inspecting an IC Using Fuzzy Measuring
  • Measuring Leads of a Moving IC

  • Inspect IC

    Selecting Operators

  • -+Acquire Image(s)

  • Radiometrically Calibrate Image(s)
  • Align ROIs or Images
  • Rectify Image(s)
  • Create Measure Object
  • Measure
  • Transform Results Into World Coordinates

  • Visualize Results

    Tips & Tricks

  • Suppress Cluteer or Noise

  • Reuse Measure Object

  • Use an Absolute Gray Value Threshold

    Advanced Topics

  • Fuzzy Measuring

  • Evaluation of Gray Values

    2.5 Edge Extraction(Pixel-Precise)

    Edge Extraction Using Edge Filters

  • Basic Concept

  • A First Example
  • Extended Concept
  • Programming Examples
  • Selecting Operators
  • Relation to Other Methods

  • Tips & Tricks

    Deep-Learning-Based Edge Extraction

  • Concept

  • Programming Examples

    2.6 Edge Extraction(Subpixel-Precise)

    Basic Concept

  • Acquire Image(s)

  • Extract Edges Or Lines

  • A First Example

    Extended Concept

  • Radiometrically Calibrate Image(s)

  • Use Region Of Interest
  • Extract Edges Or Lines
  • Detemine Contours Attributes
  • Process XLD Contours
  • Transform Results Into World Coordinates

  • Visualize Results

    Programming Examples

  • Measuring the Diameter of Drilled Holes

  • Angiography

    Selecting Operators

  • Acuqire Image(s)

  • Radiometrically Calibrate Image(s)
  • Use Region Of Interest
  • Extract Edges Or Lines
  • Determine Contour Attributes
  • Process XLD Contours
  • Transform Results Into World Coordinates

  • Visualize Results

    Relation to Other Methods

  • Alternatives to Edge Extractiong(Subpixel-Precise)

    2.7 Deflectometry

    Basic Concept

  • Create Structured Light Model

  • Set Model Parameters
  • Generate Pattern Images
  • Acquire Images
  • Decode Images

  • Get Results

    Programming Examples

  • Inspecting a Tap Collar

  • Inspectiong a Partially Specular Surface

    Tips & Tricks

  • Set Up the Measurement

  • Check the Decoding Results
  • Synchronize the Camera with the Pattern Source

  • Speed Up the Acquisition Process

    2.8 Contour Processing

    Basic Concept

  • Create XLD Contours

  • Process XLD Contours
  • Perform Fitting
  • Extract Features

  • A First Example

    Extended Concept

  • Create XLD Contours

  • Process XLD Contours
  • Perform Fitting
  • Transform Results Into World Coordinates
  • Extract Features
  • Convert And Access XLD Contours

  • Visualize Results

    Programming Examples

  • Measuring Lines and Arcs

  • Close Gaps in a Contour
  • Calculate Pointwise Distance between XLD Contours

  • Extract Roads

    Selecting Operators

  • Create XLD Contours

  • Process XLD Contours
  • Perform Fitting
  • Transform Results Into World Coordinate
  • Extract Features
  • Convert And Access XLD Contours

  • Visualize Results

    Relation to Other Methods

  • Alternatives to Contour Processing

    Advanced Topics

  • Line Scan Cameras

    2.9 2D Matching

    Basic Concept

  • Acquire Image(s)

  • Create (Train) Model

  • Find Model

    Programming Examples

  • A First Example

  • Correlation-based Matching: Find Label in Texture
  • Shape-based Matching: Align the Image to Read Text
  • Component-based Matching: Check the State of a Dip Switch
  • Local Deformable Matching: Find Deformed Logo
  • Perspective Deformable Matching: Locate Road Signs

  • Descriptor-based Matching: Locate Brochure Pages

    Relation to Other Methods

  • Methods that are Using Matching

  • Alternatives to Matching

    2.10 3D Matching

    Basic Concept

  • Access 3D Object Model

  • Create Approach-Specific 3D Model
  • Acquire Searech Data
  • Find Approach-Specific 3D Model

  • A First Example

    Extended Concept

  • Inspect 3D Object Model

  • Inspect Approach-Specific 3D Model
  • Re-use Approach-Specific 3D Model
  • Use Region of Interest

  • Visualize Results

    Programming Examples

  • Recognize 3D Clamps and Their Poses in Images

  • Recognize Pipe Joints and Their Poses in a 3D Scene

    Selecting Operators

  • Access 3D Object Model

  • Inspect 3D Object Model
  • Create Approach-Specific 3D Model
  • Inspect Approach-Specific 3D Model
  • Re-use Approach-Specific 3D Model
  • Acquire Search Data
  • Use Region Of Interest
  • Find Approach-Specifiic 3D Model

  • Visualize Results

    Relation to Other Methods

  • Alternativves to 3D Matching

    2.11 Variation Model

    Basic Concept

  • Acquire Image(s)

  • Create Variation Model
  • Align ROIs or Images
  • Train Variation Model
  • Prepare Variation Model
  • Compare Variation Model

  • A First Example

    Extended Concept

  • Check Model Quality

  • Clear Training Data

  • Visualize Results

    Programming Example

  • Inspect a Printed Logo Using a Single Reference Image

  • Inspect a Printed Logo under Varying Illumination

    Selecting Operators

  • Acquire Image(s)

  • Create Variation Model
  • Align ROIs or Images
  • Train Variation Model
  • Check Model Quality
  • Prepare Variation Model
  • Compare Variaiton Model

  • Visualize Results

    2.12 Classification

    Basic Concept

  • Acquire Image(s)

  • Create Classifier
  • Train Classifier
  • Classify Data

  • A First Example

    Extended Concept

  • Train Classifier

  • Re-use Trainging Samples
  • Re-use Classifier
  • Evaluate Classifier

  • Visualize Result

    Programming Concept

  • Inspection of Plastic Meshes via Texture Classification

  • Classification with Overlapping Classes

    Selecting Operators

  • Acquire Image(s)

  • Create Classifier
  • Train Classifier
  • Re-use Training Samples
  • Re-use Classifier
  • Evaluate Classifier
  • Classify Data

  • Visualize Results

    Relation to Other Methods

  • Methods that are Useful for Classification

  • Methods that are Using Classification

  • Alternatives to Classification

    Tips & Tricks

  • OCR for General Classification

    Advanced Topics

  • Selection of Training Samples

    2.13 Color Processing

    Basic Concept

  • Acquire Image(s)

  • Decompose Channels
  • Process Image (Channels)

  • A First Example

    Extended Concept

  • Demosaick Bayer Pattern

  • Transform Color Space
  • Train Colors
  • Use Region Of Interest
  • Classify Colors
  • Compose Channels

  • Visualize Results

    Programming Examples

  • Robust Color Extraction

  • Sorting Fuses
  • Completeness Check of Colored Game Pieces
  • Inspect Power Supply Cables

  • Locating Board Components by Color

    Selecting Operators

  • Acquire Image(s)

  • Demosaick Bayer Pattern
  • Decompose Channels
  • Transform Color Space
  • Train Colors
  • Use Region Of Interest
  • Process Image(Channels)
  • Classify Colors
  • Compose Channels

  • Visualize Results

    Tips & Tricks

  • Speed Up

    Advanced Topics

  • Color Edge Extraction

  • Color Line Extraction

    2.14 Texture Analysis

    Basic Concept

  • Acquire Image(s)

  • Apply Texture Filter
  • Compute Features

  • A First Example

    Extended Concept

  • Rectify Image(S)

  • Scale Down Image(s)
  • Use Region of Interest
  • Align ROIs or Images
  • Apply Texture Filter
  • Compute Features
  • Visualize Results

  • Use Results

    Programming Examples

  • Detect Defects in a Texture with Novelty Detection

  • Detect Defects in a Web Using Dynamic Thresholding

  • Classification of Different Types of Wood

    Selecting Operators

  • Acquire Image(s)

  • Rectify Image(s)

    Relation to Other Methods

  • Methods that are Using Texture Analysis

    Advanded Topics

  • Fast Fourier Transform(FFT)

  • Texture Analysis in Color Images

    More Information About Texture Features

  • Entropy and Anisotropy(entropy_gray)

  • Cooccurrence Matrix(gen_cooc_matrix)

  • Features of the Cooccurence Matrix

    More Information About Texture Filtering

  • The Laws Filter(texture_laws)

    2.15 Bar Code

    Basic Concept

  • Acquire Image(s)

  • Create Bar Code Model
  • Read Bar Code(s)

  • A First Example

    Extended Concept

  • Use Region Of Interest

  • Preprocess Image(s)
  • Rectify Image(s)
  • Create Bar code Model
  • Adjust Bar Code Model
  • Read Bar Code(s)
  • Check Print Quality

  • Visualize Results

    Programming Examples

  • How to Read Difficult Barcodes

  • Reading a Bar Code on a CD

  • Checking Bar Code Print Quality

    Selecting Operators

  • Acquire Image(s)

  • Use Region Of Interest
  • PreProcess Image(s)
  • Rectify Image(s)
  • Create Bar Code Model
  • Adjust Bar Code Model
  • Read Bar Code(s)
  • Check Print Quality

  • Visualize Results

    Relation to Other Methods

  • Alternatives to Bar Code

    Advanced Topics

  • Use Timeout

    2.16 Data Code

    Basic Concept

  • Acquire Image(s)

  • Create Data Code Model
  • Read Data Code(s)

  • A First Example

    Extended Concept

  • Acquire Image(s)

  • Rectify Image(s)
  • Create Data Code Model
  • Optimize Model
  • Train Model
  • Use Region Of Interest
  • Read Data Code(s)
  • Inspect Data Code(s)
  • Check Print Quality

  • Visualize Results

    Programming Examples

  • Training a Data Code Model

  • Reading 2D Data Codes on Chips

    Selecting Operators

  • Acquire Image(s)

  • Rectify Image(s)
  • Create Data Code Model
  • Optimize Model
  • Train Model
  • Use Region Of Interest
  • Read Data Code(s)
  • Inspect Data Code(s)
  • Check Print Quality

  • Visualize Results

    Advanced Topics

  • Use Timeout

    2.17 OCR(character classification)

    Basic Concept

  • Acquire Image(s)

  • Segment Image(s)
  • Train OCR
  • Read Symbol

  • A First Example

    Extended Concept

  • Use Region of Interest

  • Align ROIs or Images
  • Rectify Image(s)
  • Preprocess Image(s) (Filtering)
  • Extrract Segmentation Parameters
  • Segment Image(s)
  • Train OCR
  • Read Symbol

  • Visualize Results

    Programming Examples

  • Generating a Training File

  • Creating and Training an OCR Classifier
  • Reading Numbers
  • “Best Before” Date
  • Reading Engraved Text
  • Reading Forms
  • Segment and Select Characters

  • Syntactic and Lexicon-Based Auto-Correctiong of OCR Results

    Selecting Operators

  • Acquire Image(s)

  • Use Region of Interest
  • Align ROIs or Images
  • Rectify Image(s)
  • Preprocess Image(s) (Filtering)
  • Extract Segmentation Parameters
  • Segment Image(s)
  • Train OCR
  • Read Symbol

  • Visualize Results

    Relation to Other Methods

  • Alternatives to OCR

    Tips & Tricks

  • Composed Symbols

    Advanced Topics

  • Line Scan Cameras

  • Circular Prints

  • OCR Features

    Pretrained OCR Fonts

  • Pretrained Fonts with Regularized Weights and Rejection Class

  • Nomenclature for the Ready-to-Use OCR Fonts
  • Ready-to-Use OCR Font ‘Document’
  • Ready-to-Use OCR Font ‘DotPrint’
  • Ready-to-Use OCR Font ‘HandWritten_0-9’
  • Ready-to-Use OCR Font ‘Industrial’
  • Ready-to-Use OCR Font ‘OCR-A’
  • Ready-to-Use OCR Font ‘OCR-B’
  • Ready-to-Use OCR Font ‘Pharma’
  • Ready-to-Use OCR Font ‘SEMI’

  • Ready-to-Use OCR Font ‘Universal’

    2.18 OCR(Deep OCR)

    Basic Concept

  • Offline Phase

  • Online Phase

    Programming Examples

    Large images

    Relation to Other Methods

    2.19 Stereo Vision

    Basic Concept

  • Acquire Calibration Image(s)

  • Calibrate Sterro Camera System
  • Acquire Stereo Image(s)
  • Rectify Image(s)

  • Reconstruct 3D Information

    Extended Concept

  • Use Region Of Interest

  • Transform Results Into World Coordinates

  • Visualize Results

    Programming Examples

  • Segment the Components of a Board With Binocular Stereo

  • Reconstruct the Surface of Pipe Joints With Multi-View Stereo

    Selecting Operators

  • Calibrate Stereo Camera System

  • Acquire Image(s)
  • Rectify Image(s)
  • Use Region Of Interest
  • Reconstruct 3D Information
  • Transform Results Into World Coodinates

  • Visualize Results

    Relation to Other Method

  • Methods that are Using Stereo Vision

    Tips & Tricks

  • Speed Up

    Advanced Topics

  • High Accuracy

    2.20 Visualization

    Basic Concept

  • Handling Graphics Windows

  • Displaying

  • A First Example

    Extended Concept

  • Handling Graphics Windows

  • Displaying

  • A First Example

    Programming Examples

  • Displaying HALCON data structures

    Selecting Operators

  • Handling Graphics Windows

  • Displaying

  • Mouse Interaction

    Tips & Tricks

  • Saving Window Content

  • Execution Time

    Advanced Topics

  • Programming Environments

  • Flicker-Free Visualization
  • Visuralization Quality for Regions when Zooming
  • Remote Visualiztion

  • Programming Visualization

    2.21 Compute Devices

    Basic Concept

  • Query Available Compute Devices

  • Open Compute Device
  • Initialize Compute Device
  • Activate Compute Device
  • Perform Calculation on Compute Device
  • Deactivate Compute Device

  • A First Example

    Extended Concept

  • Get Information about Compute Device(s)

  • Open Compute Device
  • View/Edit Compute Device Parameters
  • Initialize Compute Device
  • Activate Compute Device
  • Perform Calculation on Compute Device
  • Deactivate Compute Device

  • Release Compute Device

    Programming Example

  • How to Use Compute Devices With HALCON

    Tips and Tricks

  • Speed Up

  • Measuring Execution Times
  • Exchanging or Simulating Operators that do not support Compute Devices
  • Limitiations

  • Multithreading

    Technical Details

    Operators Supporting Compute Devices

    2.22 I/O Devices

    Basic Concept

  • Open Connection

  • Read/Write Values
  • Close ImageAcquisition Device

  • A First Example

    Extended Concept

  • Control I/O Device Interface

  • Open Connection

  • Set Parameters

    Programming Examples

    Selecting Operators

  • Open Connection to I/O device

  • Set Parameters
  • Read/Write Value(s)

  • Close Connection to I/O device

    Tips & Tricks

  • Unsupported I/O Devices