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    <title>DSpace community: 電機工程學系</title>
    <link>https://ir.lib.ncu.edu.tw/handle/987654321/25186</link>
    <description>奠定學生紮實的電機工程知識，培育具邏輯思考能力、問題分析能力與獨立創新能力的高級電機工程人才。</description>
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      <title>115年電機工程學系(二年級)-英文-入學考試題</title>
      <link>https://ir.lib.ncu.edu.tw/handle/987654321/109498</link>
      <description>title: 115年電機工程學系(二年級)-英文-入學考試題 abstract: 國立中央大學圖書館-National Central University (Taiwan) Institutional Repository-考古題-轉學考-資電學院-電機工程學系(二年級)-115年英文試題
&lt;br&gt;</description>
      <pubDate>Thu, 09 Jul 2026 08:05:38 GMT</pubDate>
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      <title>115年電機工程學系(二年級)-普通物理-入學考試題</title>
      <link>https://ir.lib.ncu.edu.tw/handle/987654321/109497</link>
      <description>title: 115年電機工程學系(二年級)-普通物理-入學考試題 abstract: 國立中央大學圖書館-National Central University (Taiwan) Institutional Repository-考古題-轉學考-資電學院-電機工程學系(二年級)-115年普通物理試題
&lt;br&gt;</description>
      <pubDate>Thu, 09 Jul 2026 08:05:35 GMT</pubDate>
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    <item>
      <title>115年電機工程學系(二年級)-微積分-入學考試題</title>
      <link>https://ir.lib.ncu.edu.tw/handle/987654321/109496</link>
      <description>title: 115年電機工程學系(二年級)-微積分-入學考試題 abstract: 國立中央大學圖書館-National Central University (Taiwan) Institutional Repository-考古題-轉學考-資電學院-電機工程學系(二年級)-115年微積分試題
&lt;br&gt;</description>
      <pubDate>Thu, 09 Jul 2026 08:05:33 GMT</pubDate>
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    <item>
      <title>Zernike moment and local distribution fitting fuzzy energy-based active contours for image segmentation</title>
      <link>https://ir.lib.ncu.edu.tw/handle/987654321/108565</link>
      <description>title: Zernike moment and local distribution fitting fuzzy energy-based active contours for image segmentation abstract: 摘要： This paper presents a new region-based active contour model for extracting the object boundaries in an image, based on techniques of curve evolution. The proposed model introduces an energy functional that involves intensity distributions in local image regions and fuzzy membership functions. The local image intensity distribution information used to guide the motion of the contour, in the paper, is derived by Hueckel operator in the neighborhood of each image point. The parameters of Hueckel operator are estimated by a set of orthogonal Zernike moments before curve evolution. Meanwhile, the fuzzy membership functions are used to measure the association degree of each image pixel to the region outside and inside the contour. To minimize the energy functional, instead of solving the Euler–Lagrange equation of the underlying problem, the paper employs a direct method to compute the energy alterations. As a result, the model can deal with images with intensity inhomogeneity. In addition, the model effectively alleviates the sensitivity to contour initialization. Moreover, the model reduces computational cost, avoids problems associated with choosing time steps as well as allows fast convergence to the segmentation solutions. Experimental results on synthetic, real images and comparisons with other models show the desired performances of the proposed model.
其他題名： SIViP
出版者： London: Springer London
出版日期： 2014-01
出處： Signal, image and video processing, 2014-01, Vol.8 (1), p.11-25
版權： Springer-Verlag London 2012
識別號： ISSN: 1863-1703
識別號： EISSN: 1863-1711
識別號： DOI: 10.1007/s11760-012-0415-0
&lt;br&gt;</description>
      <pubDate>Thu, 23 Apr 2026 06:55:13 GMT</pubDate>
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