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New Journal at De Gruyter!

International Journal of Food Engineering

Editor-in-Chief: Chen, Xiao Dong

6 Issues per year

IMPACT FACTOR 2013: 0.349

SCImago Journal Rank (SJR): 0.289
Source Normalized Impact per Paper (SNIP): 0.446


Suitability of Feature Extraction Methods in Recognition and Classification of Grains, Fruits and Flowers

Basavaraj S Anami1 / Dayanand G Savakar2

1K.L.E. Institute of Technology

2B.L.D.E.A’s Vachana Pitamaha Dr. P.G. Halakatti College Of Engineering & Technology

Citation Information: International Journal of Food Engineering. Volume 7, Issue 1, ISSN (Online) 1556-3758, DOI: 10.2202/1556-3758.1776, January 2011

Publication History

Published Online:

This paper presents the suitability of feature extraction methods for the identification and classification of certain agriculture and horticulture crops. Primarily, agriculture/horticulture crops are recognized based on their shape, size, color, texture and the like. When crops exhibit different shapes and sizes, it is customary to choose the shape and size as the basic features. Certain crops are easily identified simply by color; for example, with crops like jowar, ground nut, pomegranate and mango, color becomes the discriminating feature. We have considered color as one of the features in this study. Some agriculture/horticulture crops have overlapping colors, such as wheat and ground nut or mango and orange. When we consider the bulk samples of such grains or fruits, the surface patterns vary from crop to crop. In such cases, the texture becomes ideal for recognition. Hence, we have obtained morphological features, like shape and size, color and textural features, of the image samples to recognize, classify and grade the agriculture/horticulture crops.

Keywords: color features; textural features; morphological features; recognition and classification

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