Open AccessCrop Analysis Using Image Processing
Author(s) -
Srujana Srujana,
P. S. Chaithanya,
Bharath Ramesh,
S Manoranjan,
. Mahesh
Publication year - 2020
Publication title -
international journal of engineering technology and management sciences
Language(s) - English
Resource type - Journals
ISSN - 2581-4621
DOI - 10.46647/ijetms.2020.v04i03.002
Subject(s) - histogram equalization , matlab , adaptive histogram equalization , computer science , computer vision , artificial intelligence , image (mathematics) , image processing , software , histogram , binary image , histogram matching , filter (signal processing) , pattern recognition (psychology) , programming language , operating system
To detect the uniqueness and quantities of agriculture product images a new method is proposed using MATLAB software .In this paper we propose a method to increase the contrast level of a image with exponential low pass filter and histogram equalization technique. Next by using region props function we extract the binary features of the image, and then we calculated the number of targets in gray level image. This method can be easily applied in modern agriculture.