Prof. C V Jawahar and his student Vamsidhar Muthireddy presented a paper on Plant Disease Classification Using Hybrid Features at the 7th International Conference on Computer Vision & Image Processing (CVIP-2022) at Visvesvaraya National Institute of Technology (VNIT) Nagpur from 4 – 6 November.
Research work as explained by the authors:
Deep learning has shown remarkable performances in image classification, including those of plants and leaves. However, high performing networks in terms of accuracy may not be using the salient regions for making the prediction and could be prone to biases. This work proposes a neural network architecture incorporating handcrafted features and fusing them with the learned features. Using hybrid features provides better control and understanding of the feature space while leveraging deep learning capabilities. Furthermore, a new IoU-based metric is introduced to assess the CNN-based classifier’s performance based on the regions focused on making predictions. Experiments over multiple leaf disease datasets demonstrate the performance improvement with the model using hybrid features. Classification using hybrid features performed better than the baseline models in terms of P@1 and also on the IoU-based metric.
Keywords: Hybrid Network · Plant disease classification · PlantVillage.
CVIP 2022 is a premier annual conference focused on Computer Vision and Image Processing, with its high quality; it provides a great platform to students, academia, researchers and industry persons. Previous editions of CVIP were held at IIT Ropar (CVIP 2021), IIIT Allahabad (CVIP 2020), MNIT Jaipur (CVIP 2019), IIIT Jabalpur (CVIP 2018), and IIT Roorkee (CVIP 2017 and CVIP 2016).
Conference page: https://vnit.ac.in/cvip2022/