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Improved Leaf Segmentation Method for UNet Feature Encoding

Published: 28 February 2024 Publication History

Abstract

Leaf segmentation provides more insight into horizontal characteristics such as leaf area, number and pressure. Plant leaves overlap under different environmental conditions such as light changes, wind blowing, growing place. It makes the leaf segmentation task more complicated. To address the above issues, this paper proposes a novel, simple and efficient segmentation algorithm GrcsUnet. It uses the GRCSblock module to improve the feature extraction section based on the UNet architecture. GRCSblock integrates the ideas of Resnet, GoogLeNet, channel attention and spatial attention. Firstly, it changes the Resnet residual connection method. Secondly, it draws on the parallel idea of GoogLeNet and adopts multiple downsampling methods to reduce the loss of semantic information. Finally,it embeds channel attention and spatial attention separately into channel stitching and module output, assigning different weights to each channel and spatial position. Experiments on KOMATSUNA and MSU-PID datasets show that the segmentation performance of GrcsUnet is better than that of advanced UNET, ResUNet and UNet++.

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      ICCPR '23: Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition
      October 2023
      589 pages
      ISBN:9798400707988
      DOI:10.1145/3633637
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 28 February 2024

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      Author Tags

      1. Counting
      2. Feature encoding
      3. Leaf segmentation
      4. Resnet

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      • Research on Reinforcement Learning Based Segmentation of Ethnic Costume Instances and Gray Scale Image Coloring Methods

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