The paper presents a novel algorithm to design optimal parameters of a gray morphological filter with neural network. 给出了一种利用神经网络实现灰度形态滤波器参数的优化设计方法。
Then, the method was realized by combining the weighted average gray algorithm, adaptive optimal threshold algorithm and improved adaptive fuzzy multilevel median filter algorithm. 然后,结合加权平均值灰度化算法、自适应最佳阈值算法和改进的自适应模糊多级中值滤波算法实现上述方法。
Second, some digital image pre-processing techniques are provided, and two image enhancing techniques, the gray histogram trimming and the median filter are discussed. 然后,对现有的数字图像预处理技术进行了研究,针对本课题的特点着重讨论了数字图像预处理中灰度直方图修整和中值滤波两种图像增强技术。
Mean gray level values within Voronoi regions are also utilized to interpolate the original image and a smoothing filter is introduced to further reduce the description error on region borders. 文中同时采用每个V氏图区域内的像素均值来表示原始图像,并引入了区域边界上的平滑滤波来减小描述误差。
In the procedure of image preprocesses, some image preprocesses algorithms such as Gray Balance, Image Smooth, Median Filter are used for enhancing the SNR ( Signal Noise Ratio) of the PCB image. 在图像的预处理方面,为了提高印刷电路板数字图像的信噪比,采用了灰度修正、图像平滑、中值滤波等优化图像质量的预处理算法;
The recent developments of AM-LCDs are introduced in respects of low power consumption, high yield, high gray shade, high performance of color filter, and wide viewing angle. 本文从低功耗、高成品率、多灰度级、彩色滤色器高性能和宽视角等五个方面概要介绍有源矩阵液晶显示器(AM-LCD)近年来的发展动向。
Rough sets theory is applied to gray image, and algorithm of image median filter based on rough sets theory is proposed in this paper. 文中将Rough集理论应用到图像滤波中,提出了一种基于Rough集理论的图像中值滤波算法;
This paper analyzes the features of 60 Co container inspection image, the design of several special processing methods for container image and some normal processing methods for two dimensional digital image, including gray enhancement, pseudo enhancement, space filter, edge enhancement, geometry process, etc. 本文分析了60Co集装箱检测图像的特点,提出了集装箱图像的几种特殊处理方法。设计了各种常规的二维数字图像处理算法,包括灰度增强、伪彩色增强、空间滤波、边缘增强、几何处理等。
In order to get a better effect of noise reduction while keeping the image details in the image processing, the idea of gray correlation degree of gray system is applied to an optimizing mean filter based on gray correlation. 在图像去噪过程中为了既能获得较好的去噪效果,又能更好地保护图像细节,运用灰色系统理论的灰关联度的思想提出了一种基于灰色关联的加权均值滤波器。
An Eye Location Algorithm Based on the Gray Information and the Pupil Filter 基于灰度信息和瞳孔滤波器的人眼定位算法
In the preprocessing step, the paper construed and compared different methods of image's gray transformation and enhancement, determined to adopt the Weight-Mean method to transform the color image to gray one and adopt the Median filter to purify the gray image's noises. 在显微细胞图象预处理方面,对几种图象灰度化和图象增强方法进行了分析和比较,确定了用加权平均值法进行彩色图象灰度化,并采用中值滤波去除图象噪声。
After the gray transformation and the histogram equalization, these images were filtered by a frequency-domain homomorphic filter, hence noises in the images were greatly reduced. 利用自开发软件,对图像进行灰度变换和直方图均衡化处理后,采用频域同态滤波的方法对图像进行降噪滤波处理。
Treat with plate grain image got by video using methods of gray level transformation, median filter, erosion, expansion and so on, gain the image which only includes grain, then detect brim of grain. 对视频采集到的板材纹理图像进行灰度化、中值滤波去噪、二值化、腐蚀、膨胀等处理,得到仅包含目标纹理的图像后检测纹理边缘。
In the image quantization and enhancement section, the non-linear gray mapping based on histogram specification and the enhancement digital filter in spatial domain is applied to the result digital subtraction images. 对于获得的数字剪影结果图象采用了规定化直方图的非线性灰度变换算法,同时对于结果图象的增强设计了空域数字滤波器。
The 8 bit gray level image 3 × 3 window median filter with arbitrary shape is implemented by using FPGA devices and fast randow access memory devices. 利用快速RAM器件和FPGA器件,完成8bit灰度图象3×3窗口任意形状中值滤波器。
The first stage is include image's gray numbers on average, image enhancing by average filter, part enhancing and enhancing by homeostasis filter. 其中图像预处理包括直方图均衡化、中值滤波、局部增强、同态滤波增强等工序;
Though the analysis of the image by image scaling, image smoothing and image gray processing, and then using a variety of smoothing algorithms for the process of the image, the experimental results showed that the median filter can remove salt noise and Gaussian noise effectively. 通过对图像缩放、图像平滑处理和图像灰度化过程分析,应用多种平滑算法对图像进行处理,通过实验对比,表明中值滤波可以有效的去除椒盐噪声和高斯噪声。
In view of the problem of missing targets caused by the similarity between the gray of goal and background, PCA tracking algorithm combined with adaptive kalman filter is proposed in the paper. 针对目标与背景灰度分布相近致使目标丢失的问题,本文提出了一种结合自适应Kalman预测滤波器的PCA跟踪算法。
The gray histogram was introduced as weight value of mean filter and it offered gray distribution information of original images. 引入灰度直方图作为邻域平均的权值,提供了原图像的灰度分布信息。
Camera worked in low-light conditions, in order to get clear image and extract image feature, dust brush, gray transform processing, adaptive filter technology was developed. 针对煤矿低照度条件下使用了自动防尘刷,并采用了灰度分段处理,自适应滤波器技术,以保证图像清晰,可有效提取监控对象的特征。
Using inter-frame correlation and motion continuity of target, as well as the constructed gray correlation coefficient, a dim target detection algorithm based on Kalman filter is proposed. 利用目标图像的帧问相关特性和运动轨迹的连续性,构造了相关系数,针对机动性弱的常规线性运动目标,提出了一种基于卡尔曼滤波的帧间相关检测算法。
We use the improved gray model as the prediction model. The sensor nodes collect data periodically. And then we use a pre-set filter to filter out the useful data. At last we input the data to the prediction algorithm. 本文中使用改进的灰色模型作为预测模型,传感器节点周期性的采集数据,当其采样数据被预先设置好的过滤器所过滤出时,对这些数据运行预测算法,从而得到数据的变化趋势。
An optimization method is derived to implement the gray morphological filter, which resolve the problem that the structure of morphological filter is hard to track adaptively the complicated variation of video model. 该技术有机结合神经网络结构和形态滤波理论,推导出一种利用神经网络实现灰度形态滤波器参数的优化设计方法,有效解决了形态滤波器结构元素难以自适应跟踪复杂变化的图像模型的问题。
In this system, several functions are implemented, such as image importing, image smoothing, gray image binaryzation, the separation of mesh mark and gear teeth surface based on morphological filter, and the calculation of characteristic parameters of gearing mesh mark. 该系统具有图像导入、图像平滑、灰度图像二值化、基于形态学滤波的齿面接触印痕和齿面背景分离以及齿轮接触印痕特征参数计算等功能。
In this paper, a self-adaption filter is adopted, when the image gray levels within a certain threshold we use a homomorphic filter processing the image; else it exceeds this threshold value, we use anisotropic filter. 本文采用自适应滤波器,即当图像灰度在某阈值内时使用同态滤波器处理图像;超过这一阈值,则采用各项异性滤波器。
Simulation and experimental results show that the use of gray can be a better predictive control to overcome the the impact of active injection power filter to harmonic compensation. 通过仿真和得出的实验结果,表明采用灰色预测控制能较好克服注入式有源滤波器延时对谐波补偿的影响,改善系统整体性能。
For small target, since the target information utilized is only the observed location and gray information, we take H infinity filter as the prediction filter for motion analysis and tracking to adapt the uncertainty of noise source and exotic disturbance in multi-application environment. 对于小目标,由于所利用的信息通常只有目标位置观测值和灰度值,我们用H无穷滤波器作为预测滤波器对其运动进行分析和跟踪,以适应多种应用环境下噪声源和外界干扰的不确定性。
Then add the two-dimensional speckle noise into the pictures of different gray values, and filter the images in the use of filtering algorithm. Contrast the mean square error and peak signal to noise ratio that before and after filtering. 然后,将生成的二维斑点噪声加到不同灰度值的图片上,利用滤波算法对图片进行滤波,对比滤波前后图像的均方误差和峰值信噪比。