一种基于嵌入式全景视频流影像数据实时拼接方法

针对机载全景视频流影响,提出了一种基于嵌入式的全景实时拼接方法。提取图像中的SURF(speeded up robust features)特征点,生成特征描述子。通过计算2个特征点之间的欧式距离来确定匹配度,经过仿射变换后,利用泊松变换实现图像间的融合平滑处理。将上述流程在目标设备上进行并发执行,根据每个流程自身的特点进行定制化优化,实现全景实时拼接。试验测试表明,本方法实现了拼接接缝处基本无缝的效果,拼接速度达到30 Hz,能够满足实时显示的要求。     

基于改进的FAST-SURF快速图像拼接算法

针对SURF(speeded-up robust features)算法计算量大、图像拼接效率低的不足,以FAST(features from accelerated segment test)角点取代SURF斑点在图像重合区域提取特征点,使用SURF描述子进行特征点描述,通过描述子降维、自适应最近邻与次近邻比值法、几...     

车载摄像平台序列图像快速拼接方法

 针对车载摄像平台序列图像拼接中存在畸变、数据量大的问题,提出一种车载摄像平台序列图像快速拼接方法。首先对图像进行预处理来消除畸变的影响,然后对图像检测SURF特征点,定义特征点匹配率作为图像的相似性度量,根据特征点匹配率提取关键帧,再采用改进的配准策略得到全局配准模型,避免了配准误差的累积,最后采用一种最大值融合法得到序列图像的拼接图。实验结果表明：该方法具有较强的鲁棒性、更为快速。     

一种不同地面分辨率图像的拼接算法

航空遥感监测中变焦镜头的广泛应用以及飞行高度的变化会获得不同地面分辨率的航空影像,因此为了实时监控到飞行区域的整体情况,需要对不同地面分辨率的图像进行拼接。提出了针对不同地面分辨率图像进行拼接的方法。首先用四分法对图像进行分割,检测变化倍率,选择配准策略;然后用基于加速鲁棒性特征(Speeded-Up Robust Features,SURF)的算法对相邻图像进行拼接。获得了焦距变化从高倍过渡到低倍,或从低倍过渡到高倍的拼接图像。通过航空变焦模拟影像的拼接实验和地面变焦影像的拼接实验表明,该方法能够对不同地面分辨率的图像进行拼接,且拼接结果均以高分辨率为基准。     

图像局部特征自适应的快速SIFT图像拼接方法

针对目前图像拼接中计算量较大、实时性较差的问题,本文提出了一种图像局部特征自适应的快速尺度不变特征变换(SIFT)拼接方法。首先,对待拼接图像分块,确定图像局部块的特征类型;接着自适应采用不同的简化方法提取各局部块的特征点。然后,通过特征匹配求出变换矩阵,并结合RANSAC算法去除伪匹配对。最后,通过图像融合得到最终的拼接图像。文中使用提出的方法对3组待拼接图像进行实验。从实验结果可以看出:与标准拼接方法相比,本文改进方法的计算速度提升了30%~45%。因此,这种方法能够在保证图像拼接质量的前提下,有效提高图像拼接的效率,克服图像拼接中计算复杂度高的问题,在实际图像拼接中具有一定的应用价值。     

基于局部到全局优化策略的倾斜影像定向方法

作为影像位姿解算的传统方法,光束平差法已被广泛应用于倾斜航空影像定向任务;但其高度依赖良好初值的限制条件,导致在导航系统缺失或者导航精度有限的飞行任务中常发生收敛缓慢或收敛失败的问题.因此,为了在初值质量不佳或缺失的情况下进行有效迭代,提出了一种基于局部到全局优化策略的倾斜图像定向方法来提高优化迭代解算的鲁棒性.所提方...     

一种基于图像投影特征的射线图像拼接方法

在应用射线进行构件检测的过程中,图像拼接具有重要的作用。首先减小搜索区域和运用图像的投影特征求出相关系数,然后根据相关系数确定两幅图像的匹配位置。这种方法能够对所要拼接的图像进行准确的配准和无缝拼接。在射线图像的拼接和应用中获得了满意的效果。     

基于SIFT特征的彩色图像拼接方法研究

针对传统特征提取拼接算法在复杂图像中配准过程中出现的过多误匹配,导致拼接后图像出现鬼影、模糊等问题,从而影响拼接图像的质量,提出一种改进的SIFT配准算法。在对目标图像提取SIFT特征后,利用SIFT描述子的尺度以及梯度方向信息建立最小邻域匹配剔除误匹配点,之后利用局部均方根误差(RMSE)评价映射矩阵与RANSAC算法相结合,迭代出精确变换模型。在对图像进行几何矫正后,提出一种自适应的混合线性算法对重合区域图像变换至HIS颜色空间进行图像拼接,最后得到平滑无缝的完整彩色全景拼接图像。实验结果证明,该算法在拼接复杂场景并且重合区域不多时仍有较好的准确性及稳定性。     

一种用于钣金零件视觉测量的图像拼接方法

在钣金零件视觉测量中,大尺寸零件超出图像采集摄像机的视场范围,不能一次性获得该零件的完整图像,需要将存在一定重叠区域的图像进行图像拼接。针对特征稀少、灰度信息少、轮廓对称的钣金零件图像不易拼接问题进行了分析和研究,提出了一种在待拼接图像中选择包含重叠部分的等大小区域作为待配准区域,并对其提取轮廓,然后对轮廓图利用相位相关法求待配准区域的配准参数,再根据待配准区域图像与待拼接图像的坐标关系转换求待拼接图像的配准参数并对图像进行配准,实现钣金零件图像拼接的方法。通过实验表明,该拼接方法对特征稀少、灰度信息少和轮廓对称的钣金零件图像具有速度快、较好的准确性和抗干扰能力,能够满足工业应用的要求。     

一种空间变化PSF图像分块复原的拼接方法

介绍了一种退化函数随空间变化图像的分块复原和拼接方法,首先以等晕区为依据对退化函数随空间变化的图像进行分块并向外延伸一定区域,然后使用Lucy-Richard算法对每一个图像块进行图像复原,在去除各复原图像块包含明显振铃波纹的部分边缘区域之后,将相邻图像块剩余的重叠区像素以其到等晕区边界的距离构成的加权系数进行叠加,拼接得到完整的图像.该方法能够消除退化函数随空间变化的图像分块复原处理时产生的振铃波纹,在诸如卫星遥感、飞机航拍图像复原,医学图像处理等众多领域均可广泛应用.     

Operating mode of high pressure straws with high spatial resolution

The article presents results of studying the operating mode of thin-walled drift tubes (straws) at flushing it with a high-pressure gas mixture, which allowed obtaining extremely high spatial resolution for straw detectors. The results of studying the radiation ageing of straws operating in this mode are also described.     

The miniature light-field camera with high spatial resolution

Optical Review - A light-field camera is an optical system that provides multi-field-angle information in one shot. The microlens array (MLA) in a light-field camera system is the key to provide...     

In-duct identification of fluid-borne source with high spatial resolution

Source identification of acoustic characteristics of in-duct fluid machinery is required for coping with the fluid-borne noise. By knowing the acoustic pressure and particle velocity field at the source plane in detail, the sound generation mechanism of a fluid machine can be understood. The identified spatial distribution of the strength of major radiators would be useful for the low noise design. Conventional methods for measuring the source in a wide duct have not been very helpful in investigating the source properties in detail because their spatial resolution is improper for the design purpose. In this work, an inverse method to estimate the source parameters with a high spatial resolution is studied. The theoretical formulation including the evanescent modes and near-field measurement data is given for a wide duct. After validating the proposed method to a duct excited by an acoustic driver, an experiment on a duct system driven by an air blower is conducted in the presence of flow. A convergence test for the evanescent modes is performed to find the necessary number of modes to regenerate the measured pressure field precisely. By using the converged modal amplitudes, very-close near-field pressure to the source is regenerated and compared with the measured pressure, and the maximum error was −16.3 dB. The source parameters are restored from the converged modal amplitudes. Then, the distribution of source parameters on the driver and the blower is clearly revealed with a high spatial resolution for kR<1.84 in which range only plane waves can propagate to far field in a duct. Measurement using a flush mounted sensor array is discussed, and the removal of pure radial modes in the modeling is suggested.     

Broad-band NMR with a high spectral and spatial resolution

Spatially selective excitation sequence CARVE (completely arbitrary regional volume excitation) excites signal from an arbitrarily shaped profile (I. Sersa, S. Macura: Magn. Reson. Med.37, 920–931, 1997) by an interleaved sequence of precalculated small tip angle radio-frequency pulses and gradient pulses. Here we propose a spatially selective observation method based on the CARVE principles which is insensitive to the relaxation and the off-resonance effects. The method, CARVED (CARVE detection), excites spins uniformly across the sample and across the spectrum but achieves spatial selectivity by weighted coaddition of the signals after the data acquisition. CARVE-D is suitable for spatially selective high-resolution nuclear magnetic resonance spectroscopy in chemically and geometrically complex systems. The method is analyzed theoretically and demonstrated experimentally on model systems.     

MR imaging of flow with locally high spatial resolution.

Locally focused magnetic resonance imaging (LF MRI) allows imaging with variable spatial resolution within the field of view (FOV). Because LF MRI uses a priori information to provide locally high resolution in regions with rapid spatial variations in intensity (e.g., blood/tissue interface), it allows accurate reproduction of intense sharp edges in the specimen without blurring and truncation artifacts. This study employs LF MRI for 3D imaging of stationary and pulsatile flow. In the implemented version of LF MRI analytically defined basis functions are used to determine image intensity in regions depicted with low or high resolution. It is demonstrated that LF MRI of flow allows a significant (i.e. 3-4 times) reduction in scan time as compared to conventional FT MRI. It is also shown that LF images of pulsatile flow have a decreased appearance of ghosting artifacts as compared to the images reconstructed by using the conventional method.     

Schlieren visualization of ultrasonic wave fields with high spatial resolution

The visualization of ultrasonic wave fields in optically transparent liquids using the acousto-optic interaction is a well proven tool for the experimental investigation of wave propagation including wave field interaction effects with certain discontinuities and obstacles like reflection, refraction, and diffraction effects as well as for transducer testing and design. For high resolution visualization of wave fields including pulsed waveforms, pulsed light sources and sensitive optical imaging sensors with certain specifications are needed. In this paper the technical requirements of optical and electronic components for high resolution visualization of ultrasound wave fields will be presented. Also, specifications and operation results of a new designed, inexpensive Schlieren optical system will be presented, which is capable of pulsed wave field visualization in the MHz frequency range. The spatial resolution is high enough, not only for accurate beam shape and wave pattern visualization, but also for a gray-scaled display of wave amplitudes including amplitude zero crossings in ultrasound pulses. Consequently, ultrasonic wavelengths can be visualized quantitatively as well as wavelength changes of the ultrasound pulses while traveling through transparent media with different sound velocities. Results to be presented will include 2 MHz and 10 MHz experiments using single transducers as well as linear arrays of commercial medical scanners during their standard operation showing the system beamforming characteristics.     

A novel multi-scale segmentation algorithm for high resolution remote sensing images based on wavelet transform and improved JSEG algorithm

Considering the difficulties in image segmentation caused by the complexity of diverse ecological environments and various artificial targets in high resolution remote sensing images, especially in city scene, and in order to overcome the limitations existing in the traditional segmentation algorithm, JSEG (J-Segmentation), for high resolution remote sensing image segmentation and to further improve the segmentation accuracy, WJSEG (Wavelet-JSEG), a novel multi-scale segmentation algorithm based on wavelet transform, is proposed, which is an improved JSEG algorithm. WJSEG is an improved form of JSEG in relation to three aspects, including color quantization, multi-scale segmentation and region merging by introducing the multi-scale analysis tool based on wavelet transform. Experiments have been conducted on high resolution SPOT 5 pan-sharpened multispectral image and IKONOS panchromatic image. These experimental results were compared with those gained by the traditional JSEG algorithm and the famous commercial software named eCognition, which validated the effectiveness and reliability of the proposed WJSEG algorithm.