An adaptive texture recognition algorithm is proposed based on spatial structure.
提出了基于空域结构的纹理识别算法。
In principle, this allows us to apply any standard texture recognition algorithm for the task (e. g., the multi-channel Gabor filtering technique).
原则上，我们可以采用任意一种标准的纹理识别算法(例如：多通道伽柏滤波器方法)。
Besides applied in remote sensing image, texture recognition can be made full use of in medical image, chronometer image, micrograph image and so on.
纹理识别不仅可以应用在遥感图像上，对医学图像、天文图像、显微图像等其它图像都具有应用的价值。
Texture recognition using the proposed method shows a high performance conducted with two different texture databases both of which include 25 kinds of monochromatic natural textures.
在两组分别包含25类单色自然纹理的图像库上进行的识别实验表明，该方法获得了良好的识别效果。
Texture image segmentation is foundation of image analysis, model recognition and computer vision, which is also a classic problem.
纹理分割是图像分析、模式识别、计算机视觉等领域的基础，也是个经典难题。
This procedure is based on the field of pattern recognition image texture analysis.
本程序是基于模式识别领域的图像的纹理分析方法。
In an iris recognition system, the major research object is the iris texture.
虹膜识别系统中，主要研究的对象是虹膜区域的纹理。
Many reports have been made about the applications of fractal theory in the fields of natural image simulation, image texture analysis, pattern recognition etc.
自然图像的模拟，图像纹理分析，模式识别等方面都可见大量的用分形理论来分析和研究的报道。
According to the features of color texture image of cucumber disease in sunlight greenhouse, recognition of cucumber disease using Support Vector Machine (SVM) and chromaticity moments is introduced.
根据日光温室黄瓜病害的彩色纹理图像的特点，将支持向量机和色度矩方法用于识别黄瓜病害。
Texture analysis plays an important role in image analysis and pattern recognition, and texture description is a basic research topic of texture analysis.
纹理分析在图象分析和模式识别中起着非常重要的作用，而纹理描述又是其中一个基础的研究课题。
Iris recognition, an emerging biometric technology, which exploits the uniqueness of human iris texture, can accomplish automatic personal identification.
新出现的虹膜计算机识别技术利用人虹膜纹理的独特性，可以完成自动身份识别的任务。
At first, extracting features of chromaticity moments of texture image of grape disease is done, then classification method of SVM for recognition of grape disease is discussed.
首先利用色度矩提取葡萄病害叶片纹理图像的特征向量，然后将支持向量机分类方法应用于病害的识别。
At first, the extracting features of chromaticity moments of texture image of maize disease is done, then classification method of SVM for recognition of maize disease is discussed.
首先利用色度矩提取玉米病害叶片纹理图像的特征向量，然后将支持向量机分类方法应用于病害的识别。
But we know if we will get more relatively exact measurement and recognition about texture line of skin image, segmentation and extrication texture line of skin image must more accurate.
但是我们知道如果要对皮肤图像的纹理线有一个比较精确的测量和识别，皮肤图像纹理的分割和提取必须比较准确。
According to the features of color texture image of plant disease, recognition of plant disease using support vector machine (SVM) and chromaticity moments was introduced.
针对植物病害彩色纹理图像的特点，提出将支持向量机和色度矩分析方法相结合应用于植物病害识别中。
The texture energy method is combined with pattern recognition and as for actual condition, several two-dimension Windows are made and used.
把纹理能量法与模式识别方法结合，并针对实际情况，构造并应用了几个二维窗口。
Directions of iris texture play an important role in iris recognition.
虹膜纹理的方向特征在虹膜识别中具有重要地位。
As important information and basic character, texture has significant meaning in image recognition of remote sensing.
纹理是遥感图像的重要信息和基本特征，在遥感图像的自动识别中具有重要意义。
This article will introduce the plant leaves recognition system with emphasis based on the image texture analysis.
本文将重点介绍基于图像纹理分析的植物叶片识别系统。
A novel iris recognition method based on multi-texture feature fusion is presented in the paper.
提出一种基于多纹理特征融合的新颖虹膜识别方法。
The palmprint recognition is a new biometrics technology, which use palm texture as biologic characters to recognize identity.
掌纹识别技术利用人的掌部纹理作为生物特征进行身份的自动确认，是生物特征识别领域的又一新兴技术。
The key part of 3d face recognition is building the corresponding model with the acquisition of the shape model and accurate texture mapping as the core issues.
三维人脸识别中的核心部分是建立对应的三维人脸模型，而如何获得形状模型和精确的纹理影射是构建模型的关键性。
Through the manoeuvring of rational experience, texture of the material, visual recognition and all aspects of physical + mental sensations, the work forms a sudden satisfaction in pursuit of meaning.
通过调动理性经验，材料质感，视觉认知等身体与思想全部的感知方式，形成一种对意义追求的瞬间获得感。
Through the manoeuvring of rational experience, texture of the material, visual recognition and all aspects of physical + mental sensations, the work forms a sudden satisfaction in pursuit of meaning.
通过调动理性经验，材料质感，视觉认知等身体与思想全部的感知方式，形成一种对意义追求的瞬间获得感。
应用推荐