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Automatic Object Detection and Dimensional Measurement of Object Using Image Processing

Authors: Kambale, Anuradha; Patil, Neha; Ranmale, Neha; Shrutika Gonjare;

Automatic Object Detection and Dimensional Measurement of Object Using Image Processing

Abstract

In this days, automatic object detection and dimensions measurement is an important issue from so many small scale industries. It automatically measured size of object with their high accuracy by structure of light is based on system of camera.Using the different types of algorithms as well as morphological operation and the combination of hardware and software. This is the vital topic of computer vision problems this study present an enhanced technique for detecting object dimension of the object. Quality of the product is becoming necessary and demands high precision with accuracy for each atom. The approach includes six steps namely (1) Training Image, (2) Image segmentation, (3) feature explanation, (4) Testing of Image and the last is (5) Classification. The grey scale image are firstly aligned in the preprocessing step. In the implementation of the purposed technique, we designed a system that used MATLAB software, CCD/Web Camera. It nearly achieved 98% success in determination to size of object.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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