Rapid ultraspectral matching method based on crosscut feature extraction

A rapid matching method for ultraspectral data is proposed in this paper. We have expanded the concept of the histogram in image processing to spectral matching, and the sampled spectrum histogram is presented. On the basis of the sampled spectrum histogram, a spectral feature named the crosscut feature (CF) is developed. Specifically, we make a number of equally spaced horizontal lines on the ultraspectral curve, and count the number of intersections of each line with the spectral curve to obtain the CF vector. This process is simple and the dimensions of the CF vector can be adjusted to obtain better performance. The CF vector is extracted as the feature to implement the spectral matching procedure. Experimental results show that the CF method reduces the operation time significantly while maintaining a high matching accuracy, and is suitable for different ultraspectral matching applications.     

适合于内窥成像的共路型光学相干层析成像系统

提出了一种采用光纤型迈克耳孙干涉仪进行光程补偿的菲佐型光学相干层析成像(OCT)系统.该系统的传感探头为共路干涉结构,以解决现有内窥光学相干层析成像系统中存在的探头运动导致图像失真、以及更换使用不同探头时需进行色散和偏振态调节等问题.光程补偿和振动干扰实验结果表明,光程补偿方法正确可行,系统对环境干扰不敏感.利用研制的系统对反射镜和近红外卡进行了成像实验,验证了系统的有效性.提出的方法非常适合于内窥成像,并给出了把系统扩展为内窥光学相干层析成像系统的具体实现过程.     

基于GSPN的飞机测试性指标确定方法研究

针对现有的图像分割中自适应分割方法的研究难点,以及传统的模糊阈值分割法中存在窗宽不能自动获取的问题,在确定隶属函数的前提下,以图像的直方图为依据,利用分段计算和反变换的方法,提出了一种自适应模糊阈值的图像分割方法,并将该方法应用于机场目标的分割。该方法实现其窗口宽度的自适应选取,并且有效改善了模糊阈值法对直方图呈不明显双峰的图像分割困难的缺点,拓展了模糊阈值图像分割方法的适用范围,改善了模糊阈值分割方法的分割效果。实验结果表明,该方法对直方图呈单峰和多峰分布的的图像有较好的分割效果和效率。     

基于机器视觉的车辆保险盒在线检测研究

摘要: 车辆保险盒作为汽车电控系统中的一个重要的元器件,其质量好坏直接影响汽车的性能,传统的车辆保险盒检测主要依靠人工检测,检测费时费力,针对该问题,提出一种基于视觉的车辆保险盒在线检测方法,分析了产品图像校正到标准模板图像的位置误差,采用SURF(Speeded Up Robust Feature)算法和平面单应性理论将待检产品图像变换到标准模板位置,利用颜色直方图匹配和模板匹配完成保险盒上元件的检测。实验结果证明,该方法检测效率高,稳定可靠,能够满足在线检测的要求,具有一定实用价值。     

基于Mean-shift的灰度目标跟踪新算法

Mean-shift算法是一种非参数密度估计算法,可以实现快速的最优匹配,在目标的实时跟踪领域起着非常重要的作用。为了有效的将Mean-shift算法应用到灰度图像中,采用了以方向直方图建立目标模型的策略,提出了在灰度图像中以Mean-shift为核心的目标跟踪算法。实验结果表明,该算法具有不受光照条件影响的优点,在低对比度的情况下仍能实现稳定、实时的跟踪目标。     

基于方向金字塔框架变换的遥感图像融合算法

为了综合利用多光谱遥感图像与全色遥感图像之间的互补信息,提出了一种方向金字塔框架变换(SPFT),并基于此变换提出了一种遥感图像融合算法。具体融合过程是将多光谱图像的每个波段分别与高分辨力全色图像进行融合,首先将高分辨力全色图像与多光谱图像的待融合波段进行直方图匹配,然后对该波段图像以及直方图匹配后的高分辨力全色图像分别进行方向金字塔框架变换分解,融合过程就是对两图像方向金字塔框架变换分解后的系数进行组合,最后对组合后的系数进行方向金字塔框架逆变换即可得到该波段图像与高分辨力全色图像的融合图像。实验结果表明该算法在性能上优于基于亮度-色调-饱和度(1HS)的彩色空间变换以及基于离散小波框架变换(DWFT)的遥感图像融合方法,尤其对源图像之间存在配准误差的情况。     

一种多视点视频自动颜色校正系统

针对多视点视频系统中视点间图像颜色不一致的问题,提出了一种多视点视频自动颜色校正系统。通过求取目标图像和源图像间的颜色校正矩阵,判断其是否满足全局校正的要求;对不满足要求的图像,通过图像分割和K-L变换(Karhunen-Loeve transform),建立起目标图像和源图像中各分割区域间的局部映射关系,并通过感兴趣区域匹配,来实现对源图像的校正,最后通过视频跟踪技术实现对视频图像的校正。以标准的多视点测试图像集为例,通过将新方法与直方图匹配、全局一维线性校正算法等进行比较,表明新方法能消除匹配失真的影响,且具有较好的颜色校正效果。研究结果表明该系统可以很好地揭示图像间的颜色变化关系,并且具有很好的内容自适应性,是一种有效的多视点视频图像系统颜色校正方法。     

基于Savitzky-Golay加权拟合的红外图像非均匀性条带校正方法

针对红外成像探测器单元响应不一致等因素导致的图像非均匀性条带问题, 提出了基于直方图加权和Savitzky-Golay拟合的非均匀性条带校正方法。首先, 计算每列的归一化直方图函数并将其作为权值对图像进行加权运算;然后, 利用Savitzky-Golay滤波器对加权后的图像列均值和列方差进行拟合, 并将结果带入校正公式, 通过可调参数的迭代完成校正。实验结果表明:该方法能有效地去除非均匀性条带, 保留图像的光谱辐射信息和纹理细节, 各项评价指标均提高10%。     

Gradient-norm-based histogram equalization taking account of HSV color space distribution

In the present paper, we propose an image contrast enhancement method that can enhance the contrast of a color image naturally by taking account of a color space shape. The proposed method realizes the natural enhancement based on two kinds of intensity histograms: a gradient-norm-based histogram and an ideal histogram derived from the shape of a color space. The former histogram is used to suppress over-enhancement in the flat regions of an image and the latter histogram is used to prevent the whole image from being darken. Concretely, the aforementioned intensity histograms are appropriately mixed into a histogram with a weight based on the average intensity of the input image. The contrast enhancement of the input image is realized using the cumulative histogram of the mixed histogram as an intensity transform function. To verify the validity of the proposed method, in experiments, the proposed method is applied to a variety of images and experimental results are evaluated qualitatively and quantitatively.     

光学相干断层扫描成像新技术OCT

光学相干层析成像技术（optical coherence tomography,简称OCT）是一种新型成像方法,在生物医学和材料等许多领域有广泛的应用。本文介绍了OCT的基本原理,并给出了用该装置对生物组织样品的成像结果。此外还用计算机图像处理的方法,使得图像分辨率得到了进一步提高。     

一种遥感影像云层遮挡消除方法

针对光学遥感影像中常见的云层遮挡问题提出了一种去除云层的处理方法,采用直方图规定化来减小原始影像与替换影像间的灰度差异,采用特征点提取、整体松弛匹配以及小面元三角网纠正方法,解决了原始影像与替换影像之间的配准、纠正问题,同时利用羽化处理技术保证了拼接线附近影像灰度的平滑变化.试验结果表明:利用同一区域、不同时相、不同传感器平台的遥感影像来替换原始影像中的云层遮挡区域,可以有效解决遥感影像中的云层遮挡问题.     

OCT图像法测量折射率

基于光程匹配原理提出了一种用光学相干断层成像(OCT)系统获得的图像测量样品折射率的方法。通过分析光程匹配原理,给出用OCT图像法测量样品折射率的原理及过程。以玻璃载波片和黄瓜组织为样品进行实验。实验结果表明,用OCT图像法获得的载玻片和黄瓜组织的折射率测量值分别为1.499和1.353,与发表或已知的折射率结果相吻合,测试结果的随机误差可小于0.01。另外,使用OCT图像法通过短时间所采集的两幅图像可对横向扫描任意位置的折射率同时进行测量。该方法进一步简化了基于光程匹配原理的折射率测量法的过程,缩短了测量时间,是一种快速测量样品折射率的实用方法。     

一种遥感影像云层遮挡消除方法*

针对光学遥感影像中常见的云层遮挡问题提出了一种去除云层的处理方法,采用直方图规定化来减小原始影像与替换影像间的灰度差异,采用特征点提取、整体松弛匹配以及小面元三角网纠正方法,解决了原始影像与替换影像之间的配准、纠正问题,同时利用羽化处理技术保证了拼接线附近影像灰度的平滑变化.试验结果表明：利用同一区域、不同时相、不同传感器平台的遥感影像来替换原始影像中的云层遮挡区域,可以有效解决遥感影像中的云层遮挡问题.     

基于积分直方图的粒子滤波跟踪算法

在目标模型的建立过程中,将积分直方图引入到粒子滤波跟踪框架中,提出了一种快速的颜色直方图计算方法,极大地提高了粒子滤波跟踪算法的实时性。为了进一步提高算法的鲁棒性,引入了一种基于邻域颜色特征的匹配搜索机制,当跟踪精度下降时,能够对跟踪结果进行优化,减小跟踪误差。实验结果表明了该算法的有效性。     

Sub-pixel processing for super-resolution scanning imaging system with fiber bundle coupling

A multilayer fiber bundle is used to couple the image in a remote sensing imaging system.The object image passes through all layers of the fiber bundle in micro-scanning mode.The malposition of adjacent layers arranged in a hexagonal pattern is at sub-pixel scale.Therefore,sub-pixel processing can be applied to improve the spatial resolution.The images coupled by the adjacent layer fibers are separated,and subsequently,the intermediate image is obtained by histogram matching based on one of the separated image called base image.Finally,the intermediate and base images are processed in the frequency domain.The malposition of the adjacent layer fiber is converted to the phase difference in Fourier transform.Considering the limited sensitivity of the experimental instruments and human sight,the image is set as a band-limited signal and the interpolation function of image fusion is found.The results indicate that a super-resolution image with ultra-high spatial resolution is obtained.     

Exact global histogram specification optimized for structural similarity

An exact global histogram specification (EGHS) method modifies its input image to have a specified global histogram. Applications of EGHS include image (contrast) enhancement (e.g., by histogram equalization) and histogram watermarking. Performing EGHS on an image, however, may reduce its visual quality. Starting from the output of a generic EGHS method, we maximize the structural similarity index (SSIM) between the original image (before EGHS) and the EGHS result iteratively. Essential in this process is the computationally simple and accurate formula we derive for SSIM gradient. As it is based on gradient ascent, the proposed EGHS always converges. Experimental results confirm that while obtaining the histogram exactly as specified, the proposed method invariably outperforms the existing methods in terms of visual quality of the result. The computational complexity of the proposed method is shown to be of the same order as that of the existing methods.     

结合计算层析与光学相干层析测量折射率分布

通过将计算层析技术与光学相干层析技术相结合,测量散射介质非均匀折射率分布。该方法测量散射样品折射率分布时,通过光学相干层析技术测量散射样品折射率分布在多个方向上的投影,采用计算层析技术实现对样品折射率分布的层析重建,克服了传统折射率光学测量方法如单纯的基于光学相干层析原理的焦点追迹法和光程匹配法,不能测量散射介质非均匀折射率分布的缺点。采用该方法在实验中对梯度折射率棒的径向相对折射率分布进行层析重建,取得了较好的实验结果。     

Sharpness Matching between Digital Image Display Devices

A method is presented for matching apparent sharpness between digital image display devices with different characteristics. The sharpness is most precisely described by the point spread function (PSF) as opposed to dot density such as DPI (dot per inch). The difference between devices is expressed as difference between transfer functions obtained from the PSFs. In the presented method, spatial frequency filtering for one digital image is carried out where the ratio of the transfer functions or its modified version is used as filter. The modification is introduced as a clipping operation to reduce excessive enhancement when the ratio of the transfer functions has a high pass characteristic with large gain. Through computer simulation including a subjective evaluation experiment and numerical evaluation, the effectiveness of filtering operation for sharpness matching is demonstrated.     

A coarse-to-fine kernel matching approach for mean-shift based visual tracking

Mean shift is an efficient pattern match algorithm. It is widely used in visual tracking fields since it need not perform whole search in the image space. It employs gradient optimization method to reduce the time of feature matching and realize rapid object localization, and uses Bhattacharyya coefficient as the similarity measure between object template and candidate template. This thesis presents a mean shift algorithm based on coarse-to-fine search for the best kernel matching. This paper researches for object tracking with large motion area based on mean shift. To realize efficient tracking of such an object, we present a kernel matching method from coarseness to fine. If the motion areas of the object between two frames are very large and they are not overlapped in image space, then the traditional mean shift method can only obtain local optimal value by iterative computing in the old object window area, so the real tracking position cannot be obtained and the object tracking will be disabled. Our proposed algorithm can efficiently use a similarity measure function to realize the rough location of motion object, then use mean shift method to obtain the accurate local optimal value by iterative computing, which successfully realizes object tracking with large motion. Experimental results show its good performance in accuracy and speed when compared with background-weighted histogram algorithm in the literature.     

多尺度条件卷积的OCT视网膜图像降噪研究

散斑噪声存在于光学相干层析成像(OCT)中,影响OCT图像质量.在使用OCT设备诊断各种常见眼科疾病时,高质量的OCT图像是极为重要的.利用深度神经网络对OCT图像进行降噪处理,使图像在保留空间结构细节的基础上能展示更多的信息.提出了一种基于残差学习网络的新型OCT图像降噪网络-CMCNN,其具有多尺度、多权重和多层次...