Literature DB >> 25910091

A very fast algorithm for simultaneously performing connected-component labeling and euler number computing.

Lifeng He, Yuyan Chao.   

Abstract

Labeling connected components and calculating the Euler number in a binary image are two fundamental processes for computer vision and pattern recognition. This paper presents an ingenious method for identifying a hole in a binary image in the first scan of connected-component labeling. Our algorithm can perform connected component labeling and Euler number computing simultaneously, and it can also calculate the connected component (object) number and the hole number efficiently. The additional cost for calculating the hole number is only O(H) , where H is the hole number in the image. Our algorithm can be implemented almost in the same way as a conventional equivalent-label-set-based connected-component labeling algorithm. We prove the correctness of our algorithm and use experimental results for various kinds of images to demonstrate the power of our algorithm.

Year:  2015        PMID: 25910091     DOI: 10.1109/TIP.2015.2425540

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  2 in total

1.  A novel bit-quad-based Euler number computing algorithm.

Authors:  Bin Yao; Lifeng He; Shiying Kang; Yuyan Chao; Xiao Zhao
Journal:  Springerplus       Date:  2015-11-25

2.  Block-Based Connected-Component Labeling Algorithm Using Binary Decision Trees.

Authors:  Wan-Yu Chang; Chung-Cheng Chiu; Jia-Horng Yang
Journal:  Sensors (Basel)       Date:  2015-09-18       Impact factor: 3.576

  2 in total

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