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Image Segmentation Algorithm Based on Spatial Pyramid and Visual Salience

  • Jingxiu Ni
  • Xu Qian
  • Guoying Zhang
  • Aihua Liang
  • Huimin Ju
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11344)

Abstract

An image segmentation algorithm based on Spatial Pyramid and visual salience is proposed in the paper. The segmentation algorithm is divided into five steps. The first step is extracting the global features of images to be processed. The second step is dividing the image into some sub-blocks according to different scales. And the third step is extracting the sub-block features of different scales and connecting the features sequentially. The fourth step is calculating the salience of different sub-blocks. The last step is segmenting the salient objects from the source image. The segmentation algorithm detects salient parts of image by means of both color histogram and spatial pyramid. The significance of pixels can be calculated by means of color and pattern. The algorithm assigns different weights to different pixels and sub-blocks. According to experiment results, the segmentation algorithm proposed in the paper outperforms other segmentation in precision, recall and time complexity.

Keywords

Image segmentation Spatial pyramid Visual salience Similarity Feature fusion 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Jingxiu Ni
    • 1
    • 2
  • Xu Qian
    • 2
  • Guoying Zhang
    • 2
  • Aihua Liang
    • 1
  • Huimin Ju
    • 1
  1. 1.Engineering Integrated Experimental Teaching Demonstration CenterBeijing Union UniversityBeijingChina
  2. 2.School of Mechanical, Electronic and Information EngineeringChina University of Mining and TechnologyBeijingChina

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