Call For Paper Volume:4 Issue:10 Oct'2017 |

A Mobile Application for Quick Classification of Plant Leaf Based on Color and Shape

Publication Date : 03/10/2015



Author(s) :

Mohammed Zaid Shahid Akhtar , Dr. Sunil A. Patekar , Mandar G. Sohani.


Volume/Issue :
Volume 2
,
Issue 10
(10 - 2015)



Abstract :

This paper presents an effective way to develop an android application that gives user the ability to identify plant species based on photographs of the plant’s leaf taken with mobile phone. The algorithm acquires a color image of the leaf using mobile phone’s camera and perform the classification by comparing the acquired image with the stored database image. The method proposed in the paper performs preprocessing to obtain the binary contour of the leaf, then morphological features of the leaf are obtained to generate feature vector of the leaf, then classifies the species based on the combination of computed feature vector. The system is first trained against several known species and then used to classify unknown species. The paper also presents a way to improve current system by providing classification based on shape and color of the plant’s leaf. To classify the leaf based on shape, the binary contour of the plant’s leaf is obtained using Otsu’s method and sobel operator. The classification based on color is achieved using the dominant color method. To compare the morphological features, Euclidean distance method is used.


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A Mobile Application for Quick Classification of Plant Leaf Based on Color and Shape

October 3, 2015