六角网格上的图象处理算法的研究

经研究表明，屏幕上的点最佳分布是按六角网格形式分布的。文中首先讨论了六角网格的特点，屏幕用正六边形覆盖，即每个象素对应着一个正六边形，而将正六边形的中心点做为网格点；并从图形图象处理的角度分析了它的优点，如显示的直线（或曲线）没有“断开”的感觉，每个象素与所有相邻象素之间只有一种相邻关系，这就为许多图象处理提供了简便的实现途径；然后提出了在六角网格上进行图象处理的数字化过程以及在图象恢复时几何失真校正的算法，可以看出，在达到同样精度时计算量比方型网格上有明显减少．

在单片机系统中利用图素数值特征的二值图象处理算法研究

根据二值图素8-邻接点结构变化规律及MCS-51系列单片机存储系统工作特点提出利用二值图素数值特征进行图像处理的算法,并将算法软件利用局部图域递归处理方法成功移植到MCS-51系列单片机二值图像处理系统,形成适用MCS-51系列单片机存储系统的二值图像处理算法。该算法也适用于其他系列单片机实现二值图像处理。

六角网格上的图象处理算法

介绍了六角网格，并从图形、图象处理的角度分析了其优点，提出了在六角网格上进行图象处理的数字化过程，以及一个轮廓跟踪算法．

热轧螺纹钢在线图象检测技术的研究

本文介绍了利用计算机图象系统对具有复杂轮廓的热轧螺纹钢进行在线检测的技术。提出了用可控频闪光源照明和面阵ＣＣＤ成象方式获取高速运动体的清晰图象，设计了新的图象处理算法，能同时给出热轧螺纹钢的多个参数。实验证明测量具有高的精度，可有效实现螺纹钢的在线检测。

A stable image reconstruction algorithm for ECT

Most image reconstruction algorithms developed for electrical capacitance tomography (ECT) can only reconstruct qualitative images. Stabled quantitative image reconstruction is necessary for many applications. To get stable ECT image, the authors constructed a compressive operator and developed a new iterative algorithm, which can overcome the semi-convergence occurring in the Landweber iteration reconstruction technique. Experimental results showed that the stability and quality of re- constructed images are improved significantly.

Image Series Segmentation and Improved MC Algorithm

A semiautomatic segmentation method based on active contour is proposed for computed tomography (CT) image series. First, to get initial contour, one image slice was segmented exactly by C-V method based on Mumford-Shah model. Next, the computer will segment the nearby slice automatically using the snake model one by one. During segmenting of image slices, former slice boundary, as next slice initial contour, may cross over next slice real boundary and never return to right position. To avoid contour skipping over, the distance variance between two slices is evaluated by an threshold, which decides whether to initiate again. Moreover, a new improved marching cubes (MC) algorithm based on 2D images series segmentation boundary is given for 3D image reconstruction. Compared with the standard method, the proposed algorithm reduces detecting time and needs less storing memory. The effectiveness and capabilities of the algorithm were illustrated by experimental results.

Adaptive polarization i mage fusion based on regional energy dynamic weighted average

According to the principle of polarization imaging and the relation between Stokes parameters and the degree of linear polarization, there are much redundant and complementary information in polarized images. Since man-made objects and natural objects can be easily distinguished in images of degree of linear polarization and images of Stokes parameters contain rich detailed information of the scene, the clutters in the images can be removed efficiently while the detailed information can be maintained by combining these images. An algorithm of adaptive polarization image fusion based on regional energy dynamic weighted average is proposed in this paper to combine these images. Through an experiment and simulations,most clutters are removed by this algorithm. The fusion method is used for different light conditions in simulation, and the influence of lighting conditions on the fusion results is analyzed.

Correlation analysis-based image segmentation approach for automatic agriculture vehicle

It is important to segment image correctly to extract guidance information for automatic agriculture vehicle. If we can make the computer know where the crops are, we can extract the guidance line easily. Images were divided into some rec-tangle small windows, then a pair of 1-D arrays was constructed in each small windows. The correlation coefficients of every small window constructed the features to segment images. The results showed that correlation analysis is a potential approach for processing complex farmland for guidance system, and more correlation analysis methods must be researched.

EDGE-DIRECTED INTERPOLATION BASED ON SHIFTED-LINEAR IMAGE MODEL

This paper presents a hybrid image interpolation algorithm to keep details and edges simultaneously. The basic idea is to separate the unknown pixels into two classes and estimate them in different way. One class of unknown pixels is obtained via shifted linear interpolation and the other class through statistical signal processing method. The merit of this hybrid algorithm is that each unknown pixel can be estimated through original pixels simultaneously. Simulation results demonstrate that this hybrid interpolation algorithm improves the quality of the interpolated images over conventional interpolation methods.

Production of High-Resolution Remote Sensing Images for Navigation Information Infrastructures

This paper introduces the image fusion approach of multi-resolutionanalysis-based intensity modulation (MRAIM) to produce the high-resolution multi-spectral imagesfrom high-resolution panchromatic image and low-resolution multi-spectral images for navigationinformation infrastructure. The mathematical model of image fusion is derived according to theprinciple of remote sensing image formation. It shows that the pixel values of a high-resolutionmulti-spectral images are determined by the pixel values of the approximation of a high-resolutionpanchromatic image at the resolution level of low-resolution multi-spectral images, and in the pixelvalae computation the M-band wavelet theory and the a trous algorithm are then used. In order toevaluate the MRAIM approach, an experiment has been carried out on the basis of the IKONOS 1 mpanchromatic image and 4 m multi-spectral images. The result demonstrates that MRAIM image fusionapproach gives promising fusion results and it can be used to produce the high-resolution remotesensing images required for navigation information infrastructures.

FEATURE PRESERVING IMAGE INTERPOLATION BY ADAPTIVE BIDIRECTIONAL FLOW

Most image interpolation algorithms currently used suffer visually to some extent the effects of blurred edges and jagged artifacts in the image. This letter presents an adaptive feature preserving bidirectional flow process, where an inverse diffusion is performed to enhance edges along the normal directions to the iso-phote lines (edges), while a normal diffusion is done to remove artifacts ('jaggies') along the tangent directions. In order to preserve image features such as edges, angles and textures, the nonlinear diffusion coefficients are locally adjusted according to the first order and the second order directional derivatives of the image. Experimental results on the Lena image demonstrate that our interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional interpolations.

The multi-motion-overlap algorithms for minimizing the time between successive scans of wafer stage

In order to optimize the transitional time during the successive exposure scans for a step-and-scan lithography and improve the productivity in a wafer production process, an investigation of the motion trajectory planning along the scanning direction for wafer stage was carried out. The motions of wafer stage were divided into two respective logical moves （i. e. step-move and scan-move） and the multi-motionoverlap algorithms （MMOA） were presented for optimizing the transitional time between the successive exposure scans. The conventional motion planning method, the Hazelton method and the MMOA were analyzed theoretically and simulated using MATLAB under four different exposure field sizes. The results show that the total time between two successive scans consumed by MMOA is reduced by 4.82%, 2.62%, 3.06% and 3.96%, compared with those of the conventional motion planning method; and reduced by 2.58%, 0.76%, 1.63% and 2.92%, compared with those of the Hazehon method respectively. The theoretical analyses and simulation results illuminate that the MMOA can effectively minimize the transitional step time between successive exposure scans and therefore increase the wafer fabricating productivity.

Hardware Euclidean Distance Transform Implementation

Based on an efficient algorithm of Euclidean distance transform for binary images, a circuit of O(N2) size is proposed. With in-place calculation, both the intermediate data storing and the result output use the same memory with the input data. This reduces the amount of memory largely. By replacing multipliers with counters, comparators, and adders, the circuit size is further reduced and its calculation speed is improved also.

Constrained branch-and-bound algorithm for image registration

In this paper, the authors propose a refined Branch-and-Bound algorithm for affine-transformation based image registration. Given two feature point-sets in two images respectively, the authors first extract a sequence of high-probability matched point-pairs by considering well-defined features. Each resultant point-pair can be regarded as a constraint in the search space of Branch-and-Bound algorithm guiding the search process. The authors carry out Branch-and-Bound search with the constraint of a pair-point selected by using Monte Carlo sampling according to the match measures of point-pairs. If such one cannot lead to correct result, additional candidate is chosen to start another search. High-probability matched point-pairs usually results in fewer loops and the search process is accelerated greatly. Experimental results verify the high efficiency and robustness of the author’s approach.

视频技术

Y99-61821-923 2002616湍流恶化图象的盲目超分辨率=Blind super-resolutionof turbulence-degraded imagery[会,英]/Sheppard,D.&Hunt,B.R.//1998 32nd Asilomar Conference,Vol.2.—923～927(PC)讨论了盲目超分辨率问题的进一步延伸。文章感兴趣的问题是通过湍流大气层而获得之图象的超分辨率,这种超分辨率被认定为超出光传感器衍射极限的目标空间频率的恢复。提出了湍流成象数据多帧用的盲目超分辨率算法,并给出了证明其性能的模拟结果。