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IJSTR >> Volume 5 - Issue 2, February 2016 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

A Leaf Recognition Of Vegetables Using Matlab

[Full Text]



Nadine Jaan D. Caldito, Eusebelle B. Dagdagan, Mark G. Estanislao, Kim Leonard B. Jutic, Mary Regina B. Apsay, Marissa G. Chua, Jeffrey F. Calim, Florocito S. Camata



Plant Recognition; Gabor Filter; Edge Detection; RGB Color; Grayscale Image



Recognizing plants is a vital problem especially for biologists, agricultural researchers, and environmentalists. Plant recognition can be performed by human experts manually but it is a time consuming and low-efficiency process. Automation of plant recognition is an important process for the fields working with plants. This paper presents an approach for plant recognition using leaf images. In this study, the proponents demonstrated the development of the system that gives users the ability to identify vegetables based on photographs of the leaves taken with a high definition camera. At the heart of this system is a modernize process of identification, so as to automate the way of identifying the vegetable plants through leaf image and digital image processing. The system used the Gabor Filter, Edge Detection, RGB Color and Grayscale Image to acquire the physical parameter of the leaves. The output parameters are used to compute well documented metrics for the statistical and shape. Base on the study, the following conclusion are drawn: The system can extract the physical parameters from the leaf’s image that will be used in identifying Vegetable`s. From the extracted leaf parameters, the system provides the statistical analysis and general information of the identified leaf. The used algorithm can organize data and information to useful resources to the future researchers.



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