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学者姓名：李剑敏
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目的：数字半调的处理目标不仅要减少生成图像的瑕疵，使得黑白点的分布尽量均匀，还要求生成的图像具有一定的艺术效果，本文提出了一种基于六角形像素结构的Floyd-Steinberg算法。方法：首先，选定真实六角形像素结构，根据其特点，利用线性插值方法将方形像素转换为六角形像素，然后在六角形像素结构上对图像进行Floyd-Steinberg处理，再利用线性插值方法将其转换到方形像素结构上显示。结果：实验表明，采用该方法能够减少生成图像的瑕疵和龟纹，使点的分布更加均匀、自然，具有一定的手绘点画效果。结论：本文提出了在真实六角形像素结构下进行半调处理的方法，我们通过六角形像素与方形像素之间的转换实现六角形像素结构下的半调处理，实验结果表明，该方法生成的半调图像效果较好，并且能够生成具有一定艺术效果的图像。
Keyword ：
Floyd-Steinberg Floyd-Steinberg 六角形结构 六角形结构 数字半调 数字半调 线性插值 线性插值 误差扩散 误差扩散
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| GB/T 7714 | 李剑敏 , 张华娣 . 基于六角形结构的Floyd-Steinberg算法 [C] //第17届全国图象图形学学术会议论文集 . 2014 : 469-476 . |
| MLA | 李剑敏 等. "基于六角形结构的Floyd-Steinberg算法" 第17届全国图象图形学学术会议论文集 . (2014) : 469-476 . |
| APA | 李剑敏 , 张华娣 . 基于六角形结构的Floyd-Steinberg算法 第17届全国图象图形学学术会议论文集 . (2014) : 469-476 . |
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Abstract ：
Edge detection plays an important role in image processing area. This paper presents a Canny edge detection method based on bilateral filtering which achieves better performance than single Gaussian filtering. In this form of filtering, both spatial closeness and intensity similarity of pixels are considered in order to preserve important visual cues provided by edges and reduce the sharpness of transitions in intensity values as well. In addition, the edge detection method proposed in this paper is achieved on sampled images represented on a real hexagonal structure. Due to the compact and circular nature of the hexagonal lattice, a better quality edge map is obtained on the hexagonal structure than common edge detection on square structure. Experimental results using proposed methods exhibit also the faster speed of detection on hexagonal structure.
Keyword ：
bilateral filtering bilateral filtering Canny edge detection Canny edge detection Gaussian filtering Gaussian filtering hexagonal image structure hexagonal image structure image analysis image analysis image processing image processing
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| GB/T 7714 | He, Xiangjian , Wei, Daming , Lam, Kin-Man et al. Canny Edge Detection Using Bilateral Filter on Real Hexagonal Structure [C] . 2010 : 233-, . |
| MLA | He, Xiangjian et al. "Canny Edge Detection Using Bilateral Filter on Real Hexagonal Structure" . (2010) : 233-, . |
| APA | He, Xiangjian , Wei, Daming , Lam, Kin-Man , Li, Jianmin , Wang, Lin , Jia, Wenjing et al. Canny Edge Detection Using Bilateral Filter on Real Hexagonal Structure . (2010) : 233-, . |
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Abstract ：
Edge detection plays an important role in image processing area. This paper presents a Canny edge detection method based on bilateral filtering which achieves better performance than single Gaussian filtering. In this form of filtering, both spatial closeness and intensity similarity of pixels are considered in order to preserve important visual cues provided by edges and reduce the sharpness of transitions in intensity values as well. In addition, the edge detection method proposed in this paper is achieved on sampled images represented on a real hexagonal structure. Due to the compact and circular nature of the hexagonal lattice, a better quality edge map is obtained on the hexagonal structure than common edge detection on square structure. Experimental results using proposed methods exhibit also the faster speed of detection on hexagonal structure. © 2010, Springer-Verlag Berlin Heidelberg.
Keyword ：
Computer vision Computer vision Edge detection Edge detection Image analysis Image analysis Image processing Image processing Nonlinear filtering Nonlinear filtering Pulse shaping circuits Pulse shaping circuits
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| GB/T 7714 | He, Xiangjian , Wei, Daming , Lam, Kin-Man et al. Canny Edge Detection Using Bilateral Filter on Real Hexagonal Structure [C] . 2010 : 233-244 . |
| MLA | He, Xiangjian et al. "Canny Edge Detection Using Bilateral Filter on Real Hexagonal Structure" . (2010) : 233-244 . |
| APA | He, Xiangjian , Wei, Daming , Lam, Kin-Man , Li, Jianmin , Wang, Lin , Jia, Wenjing et al. Canny Edge Detection Using Bilateral Filter on Real Hexagonal Structure . (2010) : 233-244 . |
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Abstract ：
Canny edge detector is the Most popular tool for edge detection and has many applications in the areas of image processing, multimedia and computer vision. The Canny algorithm optimizes the edge detection through noise filtering using an optimal function approximated by the first derivative of a Gaussian. It identifies the edge points by computing the gradients of light intensity function based on the fact that the edge points likely appear where the gradient magnitudes are large. Hexagonal structure is an image structure alternative to traditional square image structure. Because all the existing hardware for capturing image and for displaying image are produced based on square structure, an approach that uses linear interpolation described for conversion between square and hexagonal structures. Gaussian filtering together with gradient computation is performed on the hexagonal structure. The pixel edge strengths on the square structure are then estimated before the thresholds of Canny algorithm are applied to determine the final edge map. The experimental results show the edge detection on hexagonal structure using static and video images, and the comparison with the results using Canny algorithm on square structure.
Keyword ：
Canny edges Canny edges Edge detection Edge detection Gaussian filtering Gaussian filtering hexagonal structure hexagonal structure image interpolation image interpolation
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| GB/T 7714 | He, Xiangjian , Li, Jianmin , Wei, Daming et al. Canny Edge Detection on a Virtual Hexagonal Image Structure [C] . 2009 : 167-, . |
| MLA | He, Xiangjian et al. "Canny Edge Detection on a Virtual Hexagonal Image Structure" . (2009) : 167-, . |
| APA | He, Xiangjian , Li, Jianmin , Wei, Daming , Jia, Wenjing , Wu, Qiang . Canny Edge Detection on a Virtual Hexagonal Image Structure . (2009) : 167-, . |
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Abstract ：
Local Binary Pattern (LBP) was designed and has been widely used for efficient texture classification. LBP provides a simple and effective way to represent texture patterns. Uniform LBPs play an important role for LBP-based pattern/object recognition as they include majority of LBPs. On the other hand, Human detection based on Mahalanobis Distance Map (MDM) recognizes appearance of human based on geometrical structure. Each MDM shows a clear texture pattern that can be classified using LBPs. In this paper, we compute LBPs of MDMs. Chi-square as a measure is used for human detection based on uniform LBPs obtained We show that our method using LBPs built on MDMs has a higher human detection rate and a lower false positive rate compared to the method merely based on MDMs.
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| GB/T 7714 | He, Xiangjian , Li, Jianmin , Chen, Yan . Local Binary Patterns with Mahalanobis Distance Maps for human detection [C] . 2008 : 520-, . |
| MLA | He, Xiangjian et al. "Local Binary Patterns with Mahalanobis Distance Maps for human detection" . (2008) : 520-, . |
| APA | He, Xiangjian , Li, Jianmin , Chen, Yan . Local Binary Patterns with Mahalanobis Distance Maps for human detection . (2008) : 520-, . |
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Abstract ：
Hexagonal image structure represents an image as a collection of hexagonal pixels rather than square pixels in the traditional image structure. However, all the existing hardware for capturing image and for displaying image are produced based on square pixel image structure. Therefore, it becomes important to find a proper software approach to mimic the hexagonal structure so that images represented on the traditional square structure can be smoothly converted from or to the images on the hexagonal structure. For accurate image processing, it is critical to best maintain the image resolution during the image conversion. In this paper, we present an algorithm for bi-cubic interpolation of pixel values on a hexagonal structure when convert from the hexagonal structure to the square structure. We will compare with the results obtained through bi-linear interpolation for the conversion. Our experimental results show that the bi-cubic interpolation outperforms the bi-linear interpolation for most of testing images at the cost of slower and more complex computation.
Keyword ：
Computer vision Computer vision Image analysis Image analysis Image processing Image processing Image resolution Image resolution Interpolation Interpolation Pixels Pixels
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| GB/T 7714 | Li, Jianmin , He, Xiangjian . Bi-cubic interpolation for image conversion from virtual hexagonal to square structure [C] . 2008 : 570-574 . |
| MLA | Li, Jianmin et al. "Bi-cubic interpolation for image conversion from virtual hexagonal to square structure" . (2008) : 570-574 . |
| APA | Li, Jianmin , He, Xiangjian . Bi-cubic interpolation for image conversion from virtual hexagonal to square structure . (2008) : 570-574 . |
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Abstract ：
Local Binary Pattern (LBP) was designed and has been widely used for efficient texture classification. LBP provides a simple and effective way to represent texture patterns. Uniform LBPs play an important role for LBP-based pattern/object recognition as they include majority of LBPs. On the other hand, Human detection based on Mahalanobis Distance Map (MDM) recognizes appearance of human based on geometrical structure. Each MDM shows a clear texture pattern that can be classified using LBPs. In this paper, we compute LBPs of MDMs on a hexagonal structure. The circular pixel arrangement in hexagonal structure results in higher accuracy for LBP representation than on square structure. Chi-square as a measure is used for human detection based on uniform LBPs obtained. We show that our method using LBPs built on MDMs has a higher human detection rate and a lower false positive rate compared to the method merely based on MDMs. We will also show using experimental results that LBPs on hexagonal structure lead to more robust human classification.
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| GB/T 7714 | He, Xiangjian , Li, Jianmin , Chen, Yan et al. Local binary patterns for human detection on hexagonal structure [C] . 2007 : 65-, . |
| MLA | He, Xiangjian et al. "Local binary patterns for human detection on hexagonal structure" . (2007) : 65-, . |
| APA | He, Xiangjian , Li, Jianmin , Chen, Yan , Wu, Qiang , Ra, Wenjing . Local binary patterns for human detection on hexagonal structure . (2007) : 65-, . |
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Abstract ：
Spiral Architecture (SA) is a relatively new and powerful approach to machine vision system. The geometrical arrangement of pixels on SA can be described as a collection of hexagonal pixels. However, all the existing hardware for capturing image and for displaying image are produced based on rectangular architecture. Therefore, it becomes important to find a proper software approach to mimic SA so that images represented on the traditional square structure can be smoothly converted from or to the images on SA. For accurate image processing, it is critical to best maintain the image resolution during the image conversion. In this paper, we present an algorithm for bilinear interpolation of pixel values on a simulated SA. Our experimental results show that the bilinear interpolation improves the image representation accuracy while keeping the computation simple.
Keyword ：
Computer architecture Computer architecture Computer vision Computer vision Image reconstruction Image reconstruction Interpolation Interpolation Virtual reality Virtual reality
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| GB/T 7714 | He, Xiangjian , Li, Jianmin , Hur, Namho . Bilinear interpolation on a virtual hexagonal structure [C] . 2007 : 469-472 . |
| MLA | He, Xiangjian et al. "Bilinear interpolation on a virtual hexagonal structure" . (2007) : 469-472 . |
| APA | He, Xiangjian , Li, Jianmin , Hur, Namho . Bilinear interpolation on a virtual hexagonal structure . (2007) : 469-472 . |
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Principal Components Analysis (PCA), Independent Component Analysis (ICA) and Linear Discriminant Analysis (LDA), have been widely used for 2D face recognition. Local Binary Pattern (LBP), however, provides a simpler and more effective way to represent faces. With LBP, face image is divided into small regions from which LBP histograms are extracted and concatenated into a single and global feature histogram representing the face image. The recognition is performed using Chi square and other commonly used dissimilarity measures. In this paper, we construct LBP codes together with three dissimilarity measures on hexagonal structure. We show that LBPs defined on hexagonal structure will lead to a faster and more accurate scheme for face recognition.
Keyword ：
Computer vision Computer vision Discriminant analysis Discriminant analysis Face recognition Face recognition Graphic methods Graphic methods Independent component analysis Independent component analysis Principal component analysis Principal component analysis
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| GB/T 7714 | He, Xiangjian , Hintz, Tom , Li, Jianmin et al. Local binary pattern on hexagonal structure for face matching [C] . 2007 : 455-460 . |
| MLA | He, Xiangjian et al. "Local binary pattern on hexagonal structure for face matching" . (2007) : 455-460 . |
| APA | He, Xiangjian , Hintz, Tom , Li, Jianmin , Zhang, Huaifeng , Wu, Qiang , Jia, Wenjing . Local binary pattern on hexagonal structure for face matching . (2007) : 455-460 . |
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Abstract ：
Hexagonal structure is another image structure alternative to traditional square image structure for image processing and computer vision. The geometrical arrangement of pixels on a hexagonal structure can be described as a collection of hexagonal pixels. Because all the existing hardware for capturing image and for displaying image are produced based on square structure, it becomes important to find a proper software approach to mimic hexagonal structure so that images represented on the traditional square structure can be smoothly converted from or to the images on hexagonal structure. For accurate image processing, it is critical to best maintain the image resolution during the image conversion. In this paper, a bilinear interpolation algorithm that is used to convert an image from square structure to hexagonal structure is presented. Based on this, an edge detection method is proposed. Our experimental results show that the bilinear interpolation improves the edge detection accuracy. © 2007 IEEE.
Keyword ：
Edge detection Edge detection Image analysis Image analysis Image resolution Image resolution Interpolation Interpolation Pixels Pixels
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| GB/T 7714 | He, Xiangjian , Jia, Wenjing , Li, Jianmin et al. An approach to edge detection on a virtual hexagonal structure [C] . 2007 : 340-345 . |
| MLA | He, Xiangjian et al. "An approach to edge detection on a virtual hexagonal structure" . (2007) : 340-345 . |
| APA | He, Xiangjian , Jia, Wenjing , Li, Jianmin , Wu, Qiang , Hintz, Tom . An approach to edge detection on a virtual hexagonal structure . (2007) : 340-345 . |
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