Design of Semen Straw Counting System Using LabVIEW

Author(s):

Phadatare Swati M. , Vidya Pratishthan’s College of Engineering, Baramati; Shastri Rajveer K., Vidya Pratishthan’s College of Engineering, Baramati; Shastri Aparna R., Vidya Pratishthan’s College of Engineering, Baramati

Keywords:

Thresholding, Segmentation, Morphological Processing, LabVIEW

Abstract:

The object counting and object detection are the necessary tasks in the field such as agriculture industries, manufacturing industry, biological sciences. Various techniques are discovered and still developing for counting purpose. The proposed algorithm is to count of the semen straws that held in a compact bunch by using image processing techniques. These straws are kept in the liquid nitrogen for the straw content preservation purpose. Safety requirements of the semen straws as well as workers working in the liquid nitrogen environment, a non-harming, short-term process for straw counting is required. So, the best possible way for straw counting is to use image processing. For counting straw, operations such as thresholding, segmentation, morphological processing, and color based segmentation, advanced morphological processing, etc. are useful. The objectives are to count the straws in the container that kept in liquid nitrogen without harming any straw. The counting algorithm evaluated using Vision Builder Automated Inspection, which is supported by LabVIEW.

Other Details:

Manuscript Id	:	IJSTEV2I7113
Published in	:	Volume : 2, Issue : 7
Publication Date	:	01/02/2016
Page(s)	:	161-164

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