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{ "item_title" : "Object Distinguished for Machine Vision Using LabVIEW", "item_author" : [" Wisam T. Abbood", "Enas A. Khalid "], "item_description" : "This Book describes a machine vision system using LabVIEW and USB camera to make a distinguishing operation applied to real-time captured images processed in a system developed under the LabVIEW platform to distinguish different object's shapes and colors and do a tracking operation. The received images are captured into the computer through the acquisition, taking advantage of the toolkit for acquisition and image processing. For example, robots guided by vision can locate parts to be picked up, determine where to apply a weld, inspect parts that have been assembled, determine where to place apart, put a color label on a product.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/6/20/045/522/6200455228_b.jpg", "price_data" : { "retail_price" : "43.09", "online_price" : "43.09", "our_price" : "43.09", "club_price" : "43.09", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Object Distinguished for Machine Vision Using LabVIEW|Wisam T. Abbood

Object Distinguished for Machine Vision Using LabVIEW

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Overview

This Book describes a machine vision system using LabVIEW and USB camera to make a distinguishing operation applied to real-time captured images processed in a system developed under the LabVIEW platform to distinguish different object's shapes and colors and do a tracking operation. The received images are captured into the computer through the acquisition, taking advantage of the toolkit for acquisition and image processing. For example, robots guided by vision can locate parts to be picked up, determine where to apply a weld, inspect parts that have been assembled, determine where to place apart, put a color label on a product.

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Details

  • ISBN-13: 9786200455222
  • ISBN-10: 6200455228
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: October 2019
  • Dimensions: 9 x 6 x 0.14 inches
  • Shipping Weight: 0.22 pounds
  • Page Count: 60

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