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Improved image segmentation method based on morphological reconstruction

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Abstract

Image segmentation is a key step in linking up of image processing and image analysis and a big problem in computer vision. Morphological reconstruction is an important method of image edge segmentation. Watershed transformation is a widely used image segmentation tool base on morphological reconstruction. The traditional watershed transformation method was poor in divide objects in different size because single threshold value can’t eliminate noises in large object on top and enhance the edges of small object simultaneously. This paper proposed an improved image segmentation method based on morphological reconstruction. Using erosion operation, dilation operation, catchment basins for all size of objects were morphologically marked and re-shaped, which ensure watershed transformation in the final step segmentation the image accurately. The Experiment results showed the proposed method is more accurate in segmentation of complex images than traditional methods.

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Acknowledgments

This work is supported by the project of Natural Science Foundation of China with No. 61134006 entitled “Modeling and optimization control of mineral flotation process based on machine vision”, the project of Natural Science Foundation of China with No. 61273169 entitled “Research on production conditions anomaly detection and fault prediction method based on multidimensional differences perception”, and the project of Natural Science Foundation of China with No. 61273159 entitled “On the methods of fault diagnosis based on incomplete data for alumina evaporation process”, the project of Shaoyang Science and technology of China with No. 2015JH40 entitled “Research on flotation reagent system and technology”, and the project of Hunan Province Science Foundation of China entitled “Research on key technology of floatation froth image processing”.

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Authors and Affiliations

  1. Department of Information Science and Engineering, Hunan First Normal College, Changsha, Hunan, 410205, China

    Yanpeng Wu & Xiaoqi Peng

  2. School of Energy Science and Engineering, Central South University, Changsha, Hunan, 410083, China

    Yanpeng Wu, Xiaoqi Peng & Zhikun Hu

  3. Department of Information and Engineering, Shaoyang University, Shaoyang Hunan, Hunan, 422000, China

    Yanpeng Wu & Kai Ruan

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  1. Yanpeng Wu
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  2. Xiaoqi Peng
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Correspondence to Xiaoqi Peng.

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Wu, Y., Peng, X., Ruan, K. et al. Improved image segmentation method based on morphological reconstruction. Multimed Tools Appl 76, 19781–19793 (2017). https://doi.org/10.1007/s11042-015-3192-2

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  • DOI: https://doi.org/10.1007/s11042-015-3192-2

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