Computer vision of microwave treated red kidney beans (Rajma)

Authors

  • Chitra Gautam CSIR-NPL

DOI:

https://doi.org/10.56042/ijems.v31i1.2067

Keywords:

LabVIEW, IMAQ vision, Image processing, Grain size, Histogram, Color, Insect's egg identification, Red kidney beans

Abstract

IMAQ vision development module and LabVIEW based programming is potentially useful for analysis of untreated and treated red kidney beans. The IMAQ vision development tool and LabVIEW based programming used several algorithms to display the boundary values, edge detection, length and width of the red kidney beans present in the captured images by webcam. In addition, application of image processing was used for the threshold conditions and number of edges present in the images. These edges and threshold conditions describe the information about the red kidney beans. A test result shows the ROI histogram to detect the pixels intensity along with standard deviation and mean value of the images. Resultant coefficient of determination shows the percentage variation in red, green and blue plane such as 35.78%, 37.33% and 46.38% respectively. It is necessary to count the insect’s eggs on surface of red kidney beans to avoid the hatching of insects’s eggs before and after treatment. In this paper we have used method for counting the insect’s egg count on surface of red kidney beans in the captured images.

Downloads

Published

2024-04-12