A Pseudo-logarithmic Image Processing Framework for Edge Detection
A Pseudo-logarithmic Image Processing Framework for Edge Detection
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DOI：
10.1007/978-3-540-88458-3_57
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发表时间：
2008-10
期刊：
影响因子：
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通讯作者：
C. Vertan;A. Oprea;C. Florea;L. Florea
中科院分区：
文献类型：
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作者：
C. Vertan;A. Oprea;C. Florea;L. Florea
本文提出了一种新的图像处理的[伪]对数模型（LIP），它允许在一个固定的灰度范围[0;D]内进行灰度加、减、乘运算，而不需要限幅。在生物医学应用中，与经典操作（作为真实的轴操作，或者作为经典LIP模型）相比，在所提出的模型下实施拉普拉斯边缘检测技术产生上级性能。
The paper presents a new [pseudo-] Logarithmic Model for Image Processing (LIP), which allows the computation of gray-level addition, substraction and multiplication with scalars within a fixed gray-level range [0;D] without the use of clipping. The implementation of Laplacian edge detection techniques under the proposed model yields superior performance in biomedical applications as compared with the classical operations (performed either as real axis operations, either as classical LIP models).