A Framework with OTSU’S Thresholding Method for Fruits and Vegetables Image Segmentation
Author(s) -
Mukesh Kumar,
D.M. Dhananjay
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018917336
Subject(s) - thresholding , computer science , otsu's method , artificial intelligence , segmentation , balanced histogram thresholding , image (mathematics) , image segmentation , computer vision , pattern recognition (psychology) , image processing , histogram equalization
An accurate technique for segmentation of fruits and vegetables image is vital and major challenges in computer vision. Various segmentation techniques are available in digital image processing. In this paper, we introduce a framework for fruits and vegetables background subtraction employing Otsu’s algorithm. This method is widely used in various image segmentation applications. The Otsu’s method is useful in subtraction of background under the partial effect of occlusion, cropping, noisy and blurred images. Our proposed method was experimented by employing fruit and vegetable images acquired locally. Our experimental results confirm that, Otsu’s threshold based method is able to extract fruit and vegetable objects with good accuracy.
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