Segmentation and detection ofcattle branding images using CNN and SVM classification

Advances in Distributed Computing and Artificial Intelligence Journal

Juliano WEBER¹  Carlos SILVA¹  Bruno BELLONI² 

[1] Federal Institute Farroupilha;Federal Institute Sul-Rio-Grandense;

关键词: convolutional neural network;    support vector machines;    cattle branding;   

DOI  :  10.14201/ADCAIJ2019821932

来源: DOAJ

【 摘 要 】

This article presents a hybrid method that uses Convolutional Neural Networks (CNN) to segmentation and Support Vector Machines (SVM) to detection the brandings. The experiments were performed using a cattle branding images. Metrics of Overall Accuracy, Recall, Precision, Kappa Coefficient, and Processing Time were used in order to assess the proposed tool. The results obtained here were satisfactory, reaching a Overall Accuracy of 93% in the first experiment with 39 brandings and 1,950 sample images, and 95% of accuracy in the second experiment, with the same 39 brandings, but with 2,730 sample images. The processing time attained in the experiments was 32s and 42s, respectively.

【 授权许可】

Unknown