E-Catalog > Software Euresys > EasyObject

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Product Information :

Name :
EasyObject
Category :
  1. คอมพิวเตอร์และอุปกรณ์ ซอฟแวร์ ฮาร์ดแวร์
Sub - Category :
  1. Software Euresys
Brand :
Euresys
Model :
Ver 1.2
Product Type :
  1. สินค้า, ผลิตภัณฑ์
Short Description :
Blob analysis library

Product Detail :

Functions
  • Image Encoding:
    • Construction of the runs: Segmentation using Grayscale single threshold, Grayscale double threshold, Color single threshold, Color range threshold, Reference image, Image range, Labeled Image or Binary Image
    • Pixel aggregation
    • Object construction: aggregation of the runs into objects
    • Hole construction: aggregation of the runs into holes
    • Continuous mode for web inspection applications using line-scan cameras
  • Object feature extraction (geometric parameters computation)
  • Object selection and sorting according to any feature value



EasyObject Description

 

The EasyObject library handles image segmentation, i.e. the decomposition of images into separate objects, also called blobs. Once the objects have been constructed, they can be handled as independent entities. Various geometric parameters or features, such as area, width, or ellipse of inertia, can be computed for each object. Objects of interest can be selected by means of their position or of their computed features. EasyObject also supports the inspection of holes in defined objects. Holes are managed as the objects themselves, benefiting from the same geometrical features. EasyObject manages the relationship between objects and holes, defining parent objects for holes.



Object/blob features available

 

  • Position: Limit (top, bottom, left, right), Gravity center (X and Y), Weighted gravity center (X and Y)
  • Extent: Area (pixel count), Feret box (center X and Y, height, width with distinct orientation angles at 22, 45, 68 degrees), Bounding box (center X and Y, height, width), Minimum enclosing rectangle (angle, center X and Y, height, width)
  • Starting point of the object contour (X and Y)
  • Longest run
  • Run count
  • Object number (index)
  • Statistics: Pixel gray-level value (average, deviation, variance, min and max)
  • Ellipse of Inertia: Eccentricity of the ellipse of inertia, Ellipse, Second order geometric moments
  • Convex hull



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