Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing最新文献

This is an experimental paper in which we introduce the possibility to analyze and to synthesize 3D medical images by using multi-variate Gabor frames with Gaussian windows. Our purpose is to apply a space-variant filter-like operation in the space-frequency domain to correct medical images corrupted by different types of acquisitions errors. The Gabor frames are constructed with Gaussian windows sampled on non-separable lattices for a better packing of the space-frequency plane. An implementable solution for 3D-Gabor frames with non-separable lattice is given and numerical tests on simulated data are presented.

这是一篇实验论文，我们介绍了利用高斯窗的多变量Gabor帧来分析和合成三维医学图像的可能性。我们的目的是在空频域中应用一种类似空间变滤波器的操作来校正由不同类型的采集错误损坏的医学图像。为了更好地填充空频平面，Gabor帧是在不可分格上采样的高斯窗构造的。给出了一种具有不可分格的三维gabor框架的可实现解，并对模拟数据进行了数值测试。

引用次数: 0

Efficient Extraction of Macromolecular Complexes from Electron Tomograms Based on Reduced Representation Templates. 基于简化模板的电子层析图中大分子配合物的高效提取。

Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing

Pub Date : 2015-09-01 Epub Date: 2015-08-25 DOI: 10.1007/978-3-319-23192-1_35

Xiao-Ping Xu, Christopher Page, Niels Volkmann

Electron tomography is the most widely applicable method for obtaining 3D information by electron microscopy. In the field of biology it has been realized that electron tomography is capable of providing a complete, molecular resolution three-dimensional mapping of entire proteoms. However, to realize this goal, information needs to be extracted efficiently from these tomograms. Owing to extremely low signal-to-noise ratios, this task is mostly carried out manually. Standard template matching approaches tend to generate large amounts of false positives. We developed an alternative method for feature extraction in biological electron tomography based on reduced representation templates, approximating the search model by a small number of anchor points used to calculate the scoring function. Using this approach we see a reduction of about 50% false positives with matched-filter approaches to below 5%. At the same time, false negatives stay below 5%, thus essentially matching the performance one would expect from human operators.

电子断层扫描是应用最广泛的电子显微镜获取三维信息的方法。在生物学领域，人们已经认识到电子断层扫描能够提供完整的、分子分辨率的整个蛋白质组的三维地图。然而，为了实现这一目标，需要从这些层析图中有效地提取信息。由于信噪比极低，这项任务大多是手动完成的。标准模板匹配方法往往会产生大量的误报。我们开发了一种基于简化表示模板的生物电子断层扫描特征提取的替代方法，通过少量用于计算评分函数的锚点来近似搜索模型。使用这种方法，我们看到与匹配过滤器方法相比，误报减少了约50%，低于5%。与此同时，假阴性保持在5%以下，因此基本上符合人们对人工操作员的期望。

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引用次数: 12

Development of a High Resolution 3D Infant Stomach Model for Surgical Planning. 用于手术计划的高分辨率婴儿胃三维模型的开发。

Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing

Pub Date : 2009-09-01 DOI: 10.1007/978-3-642-03767-2_75

Qaiser Chaudry, S Hussain Raza, Jeonggyu Lee, Yan Xu, Mark Wulkan, May D Wang

引用次数: 0

Detecting regular patterns using frequency domain self-filtering 使用频域自滤波检测规则模式

Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing

Pub Date : 1997-10-26 DOI: 10.1109/ICIP.1997.647801

D. Bailey

Filtering is often used in image processing to smooth noise, and to enhance or detect features within an image. Images which have regular patterns in the spatial domain have peaks in the frequency domain corresponding to the spatial frequencies of the regular patterns. When processing such images, it is often desirable to keep such peaks, enhancing the pattern and removing noise or irregularities. This is effectively a bandpass filtering operation. The problem with such filtering is that it requires a priori knowledge of the contents of the image so that the filter can be 'tuned' to select the appropriate frequencies. Self-filtering overcomes this by multiplying the frequency domain image with its own magnitude. This gives a bandpass filter that is automatically tuned to the frequency content of the image. Applications included detecting and enhancing regular patterns; interpolating or extrapolating regular patterns; and smoothing or reducing noise.

滤波通常用于图像处理，以平滑噪声，增强或检测图像中的特征。在空间域中具有规则模式的图像在频率域中具有与规则模式的空间频率相对应的峰值。在处理这样的图像时，通常希望保持这样的峰值，增强模式并消除噪声或不规则性。这实际上是一个带通滤波操作。这种滤波的问题在于它需要对图像内容的先验知识，以便滤波器可以“调谐”以选择适当的频率。自滤波通过将频域图像与其自身幅度相乘来克服这一问题。这给出了一个带通滤波器，它自动调整到图像的频率内容。应用包括检测和增强规则模式;内插或外推规律的;平滑或减少噪音。

引用次数: 13

Recovery of blurred video signals using iterative image restoration combined with motion estimation 基于迭代图像恢复和运动估计的模糊视频信号恢复

Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing

Pub Date : 1997-10-26 DOI: 10.1109/ICIP.1997.648071

Sang Hwa Lee, Nam Su Moon, ChoongWoong Lee

This paper proposes the recovery technique of blurred video signals using the new regularized constrained iterative image restoration (RCIIR) algorithm, which is combined with motion estimation. We enhanced the subjective video quality and improved the resolution of video signals by applying the new RCIIR algorithm, which had been developed with blurred still images, to the moving objects in the video sequences. Based on the extracted motion information of moving objects from the motion estimation technique, we could obtain the approximated point spread function, which was modelled as uniform motion blur. We then applied the RCIIR algorithm to the blurred moving objects so that we could improve the resolution and quality of the videos. The experimental results showed that the boundaries of blurred objects became clearer and the overall subjective quality of the restored video sequences was improved. Our proposed recovery technique was suitable to enhance degraded video signals due to motion blurs and it was applicable to non-real time video processing to enhance the subjective quality and resolution.

本文提出了一种结合运动估计的正则化约束迭代图像恢复算法(RCIIR)对模糊视频信号的恢复技术。将基于模糊静止图像的RCIIR算法应用于视频序列中的运动物体，提高了视频的主观视频质量，提高了视频信号的分辨率。利用运动估计技术提取运动物体的运动信息，得到近似的点扩展函数，并将其建模为均匀运动模糊。然后，我们将RCIIR算法应用于模糊的运动物体，从而提高视频的分辨率和质量。实验结果表明，模糊物体的边界变得更加清晰，恢复后的视频序列的整体主观质量得到了提高。我们提出的恢复技术适用于因运动模糊而导致的视频信号降级，也适用于非实时视频处理，以提高主观质量和分辨率。

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引用次数: 12

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