提出了一种基于机器视觉技术的苹果表面纹理检测分级方法。
A detection and classification technique for the apple surface texture based on the machine vision was proposed.
软件系统主要由边缘检测、形状检测、纹理检测、颜色识别等部分构成。
And software system mainly by the edge detection, shape detection, texture detection, and color detection.
原木板材的颜色纹理检测以及分类是木质产品生产过程中的一道重要工序。
The detection and classification of the wood material is one of the important procedures in the manufacture process of the woody products.
它的检测手段主要是对皮肤区域进行辨识，而皮肤纹理检测又是皮肤区域辨识中的重要内容。
Its detection methods mainly focus on the identification of skin region in which skin texture detection plays an important role.
随着工业、医疗设备的不断智能化，对称性对纹理检测和指引机器抓起物体有着举足轻重的作用。
With the constantly intellectualization of industrial and medical equipment, symmetry plays a significant role in texture object detection and guidance grab machine.
本文先介绍了一些与课题相关的技术，主要有图象文件格式、肤色检测、纹理检测、轮廓检测和形状描述等技术。
The paper first introduces some related techniques to the research subject, such as image file format, skin color detection, skin texture detection, edge detection and shape descriptor, etc.
纹理表面的瑕疵检测是机器视觉的一个重要研究课题，已经广泛用于各种产品表面质量控制。
Defects detection for texture surface is one of the important research problems in machine vision, and can be widely used in surface quality control of different products.
针对自然图像纹理复杂的特点，提出了一种多种信息融合的有监督边界检测方法。
For natural images of complex texture, a supervised boundary detection method using the multi-information fusion was proposed.
由于纸张上有无残留痕迹处的阻抗不同，因此可以通过测试纸张有无汗潜指纹纹理处的阻抗，来实现检测纸张上残留痕迹的目的。
Because the resistances between the remaining trace and non-remaining trace are different in paper, we can test remaining trace on paper by testing the resistance of invisible fingerprints of sweat.
提出了一种基于纹理特征提取的图像处理技术和神经网络结合进行钢丝绳检测的新方法。
A new method of picking up the texture characteristics and using neural network to inspect the condition of steel wire rope is provided.
本文在现有的理论和文献基础上，研究了一种基于图像纹理统计特征分析的面部皮肤状态检测系统。
In this paper, depending on available theory and literature, it studied a kind of measuring system of facial skin condition based on statistical feature analysis of image texture.
本论文主要研究DTCWT在纹理合成和人脸特征检测方面的应用。
This thesis mainly focuses on the application of DTCWT on texture synthesis and facial feature detection.
介绍了一种利用自相关函数来估算图像分形维数的方法，并将其应用到木材的纹理分类检测中。
This paper introduced a method availing autocorrelation functions to estimate the image fractal dimension, and the method can detect classification of the wood texture.
讨论了在纸幅随机纹理背景下纸病的检测，提出利用纸病处的奇异性来区分其和背景纹理。
This paper describes the paper defects detection in stochastic textures. Paper defects can be distinguished from the background texture by singularity characterization.
从反映纹理信息的粗糙度特征出发，深入研究利用方向性粗糙度特征对SAR图像进行目标检测的方法。
Based on the roughness feature indicating texture information, the method of the directional roughness feature is studied deeply for the target detection of SAR images.
提出利用最大相关最小距离将图像的纹理特征、高斯密度特征与人脸检测相结合的算法进行图像检索。
A new image retrieval method by using Max correlation min distance to combine together texture features, Gaussian density characteristics and face detection of images for image retrieval is presented.
本文提出了一种运用图像处理技术检测织物纹理方向、识别织物组织以及经纬密测量的新方法。
A novel approach for detecting fabric texture directions, recognizing weave patterns and measuring yarn density is proposed using image-processing technology.
本文提出了一种基于背景纹理分析和多尺度距离像分析的目标检测方法。
This paper presents a new small target detection approach, which is based on multi resolution distance map and background texture analysis.
有关纹理方向直方图，我们开始通过图像进行边缘检测。
For the texture direction histogram, we started by performing edge detection on the image.
基于此我们提出了一个视觉生理机制的轮廓检测模型，其目的是减少背景纹理的干扰，同时保留感兴趣的对象。
We proposed a biologically motivated model of contour detection, which reduces edges from a texture background, while retaining object contours.
对加工表面纹理缺陷进行可靠的检测分析可以有效提高机械加工零件表面精加工的水平。
Defects detection for machined part surface texture image can obviously enhance the entire efficiency for the automatic manufacturing.
该方法利用动态规划理论中代价函数的建立过程来充分考虑图像中的灰度、均值、方差、光滑程度和纹理等多种特征，从而使目标检测的结果为最佳。
Using images' features such as gradient, mean, variance, degree of smoothing and texture characteristics to establish cost function may obtain the best results of target detection.
该算法首先利用车牌的纹理特征和区域形状特征检测车牌区域。
It utilizes the texture character and region shape character of a plate to extract the initial region.
在皮肤检测阶段，在总结前人工作的基础上，采用了一种有效的肤色检测模型，并在此基础上利用简单统计纹理特征进行皮肤检测。
In period of skin detection, we adopted an effective skin color model by studying the former work and based on this we carried out skin detection through simple and statistical texture character.
介绍了对检测到的微生物图像的目标区域，自动提取静态微生物图像的纹理特征和几何形状特征的主要技术和方法。
With reference to the graphic target zones, a new technique and method are provided to extract the texture feature and geometrical configuration features of the stored-grain microbe are acquired.
其中‘待定点’主要由边缘和纹理区像素和噪声像素构成，为区分其属性，还引入了几何结构检测方法。
The set of 'undetermined pixels' is often composed of pixels in edges and textures as well as noise pixels. Finally, the geometric structure detection is proposed to distinguish 'undetermined pixels'.
论文提出了基于阴影提取、车辆纹理与灰度对称性相结合的车辆检测方案。
This thesis proposes a vehicle detection proposal based on the extraction of shadow with a combination of vehicles' texture and symmetry of gray-scale.
通过分析采集的布匹纹理特征，应用机器视觉技术能快速检测出布匹上的瑕疵。
The defect could be detected rapidly by computer vision technology based on the characteristic of the fabric texture.
利用图像处理技术完成织物疵点检测是一个纹理特征提取和模式识别问题。
Fabric defect inspection using image processing technology is a problem of extracting of textural features and pattern recognition.
利用图像处理技术完成织物疵点检测是一个纹理特征提取和模式识别问题。
Fabric defect inspection using image processing technology is a problem of extracting of textural features and pattern recognition.
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