Y. Chen. Classification of leaf images. International Journal of Imag- ing Systems and Technology, 16(1):15-23, 2006.Lee, C.-L. and Chen, S.-Y. (2006). Classification of leaf images. International Journal of Imaging Systems and Technology, 16(1):15-23....
The segmentation and classification of leaves in plant images are a great challenge, especially when several leaves are overlapping in images with a complicated background. In this paper, the segmentation and classification of leaf images with a complicated background using deep learning are studied....
However, categorizing leaf images at the cultivar/variety level, because of the very low inter-class variability, is still a challenging task. In this research, we propose an automatic discriminative method based on convolutional neural networks (CNNs) for classifying 12 different cultivars of ...
In the present work, it is proposed to study the effects of feature selection algorithm on the predictive classification accuracy of algorithms used for discriminating the different plant leaf images. The process involves extracting the important texture features from the digital images and then subject...
A Hierarchical Approach for Multi-class Classification of Leaf Images It also overcomes the problem of imbalanced class learning. For comparative analysis, a hierarchical approach is compared with traditional Support vector ... N Goyal,Kapil,N Kumar - IEEE International Conference on Computing 被引量...
The authors used a machine learning algorithm based on codebooks of gradient histograms in combination with Support Vector Machines to classify leaf images into families and orders with an accuracy many times greater than random chance. The algorithm was found to successfully generalize across a few ...
This classification method was specifically developed to explore the feasibility of classifying weed images into broadleaf and grass categories for spatially selective weed control. In this research, three species of broadleaf weeds (common cocklebur, velvetleaf, and ivyleaf morning glory) and two ...
The Peruvian Amazon Forestry Dataset1 is a pseudo-scan collection of 59,441 leaf images of ten timber-tree species collected from the Allpahuayo-Mishana National Reserve, Peru. The species were selected because of their high commercialization, according to the OSINFOR's management information system...
extraction technique is carried out based on the texture, color and shape of the leaf images. The proposed model considered thirty classes of Flavia dataset with a total of 270 leaf images. The application of four different schemes for feature extraction increases the accuracy of the system up ...
Plant Classification Using Leaf Recognition Using computer vision, this process can be automated. Images of the leaves of the plant are analyzed using various techniques such as PCA, morphological ... Lagerwall 被引量: 8发表: 2011年 Automated Classification of Seedlings Using Computer Vision: Patter...