Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041018(2020)

CV Image Segmentation Model Combining Convolutional Restricted Boltzmann Machine

Xiaohui Li and Xili Wang*
Author Affiliations
  • School of Computer Science, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
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    Figures & Tables(14)
    Structure of different models. (a) Structure of DBN; (b) structure of DBM; (c) structure of CRBM
    Sampling processes of different models. (a) DBN model; (b) DBM model; (c) CRBM model
    Examples of distance transformation. (a) Generated shapes; (b) contour maps; (c) sign distance functions
    Partial experiment images on Satellite-2000 dataset
    Partial experiment images on Vaihigen dataset
    Shape results from different models. (a)(e) Ground-truth images; (b)(f) shapes from DBN model; (c)(g) shapes from DBM model; (d)(h) shapes from CRBM model
    Segmentation results of different models. (a) RGB images; (b) CV model segmentation results; (c) DBN-CV model segmentation results; (d) DBM-CV model segmentation results; (e) CRBM-CV model segmentation results; (f) ground-truth images
    Segmentation evaluation results of different models. (a) Global acc values; (b) IOU values
    Average Global acc and average IOU values of different models on the Satellite-2000 dataset. (a) Average Global acc; (b) average IOU
    Segmentation results of different models. (a) RGB images; (b) CV model segmentation results; (c) DBN-CV model segmentation results; (d) DBM-CV model segmentation results; (e) CRBM-CV model segmentation results; (f) ground-truth images
    Segmentation evaluation results of different models. (a) Global acc values; (b) IOU values
    Average Global acc and average IOU values of different models on the Vaihigen dataset. (a) Average Global acc values ; (b) average IOU values
    Segmentation results on other images. (a)(d) RGB images; (b)(e) CV model segmentation results; (c)(f) CRBM-CV model segmentation results
    • Table 1. Training time of different models and average Euclidean distance measure of shape results

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      Table 1. Training time of different models and average Euclidean distance measure of shape results

      ModelSatellite-2000Vaihigen
      Training time /sEuclidean distanceEuclidean distance
      Training setTest setTraining setTest set
      DBN4612.575.80946.32035471.346.78547.3183
      DBM4954.444.62714.87246854.435.62716.1724
      CRBM1237.093.80424.39122735.094.80425.3912
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    Xiaohui Li, Xili Wang. CV Image Segmentation Model Combining Convolutional Restricted Boltzmann Machine[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041018

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    Paper Information

    Category: Image Processing

    Received: Jul. 29, 2019

    Accepted: Sep. 27, 2019

    Published Online: Feb. 20, 2020

    The Author Email: Xili Wang (wangxili@snnu.edu.cn)

    DOI:10.3788/LOP57.041018

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