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Haochen He

As seen in: MDPI
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Articles by Haochen He

A Review for the Euler Number Computing Problem

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By Bin Yao, Haochen He, Shiying Kang, Yuyan Chao
| MDPI
1. Introduction A digital binary image is formed by combining the planar connected areas that depict the projections of the objects present with the real-world scene being captured. Moreover, it can be considered a two-dimensional array with two possible results, i.e., 0 or 1. A connected region in a binary image is also called a connected component. It refers to the connected region composed of adjacent pixels with the same pixel value (usually object pixel) in a binary image.
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Efficient Strategies for Computing Euler Number of a 3D Binary Image

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By Bin Yao, Haochen He, Shiying Kang, Yuyan Chao
| MDPI
Abstract : As an important topological property for a 3D binary image, the Euler number can be computed by finding specific a voxel block with 2 × 2 × 2 voxels, named the voxel pattern, in the image. In this paper, we introduce three strategies for enhancing the efficiency of a voxel-pattern-based Euler number computing algorithm used for 3D binary images. The first strategy is taking advantage of the voxel information acquired during computation to avoid accessing voxels repeatedly.
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