Description: 摘要:介绍了一个数码管显示数字仪表表盘读数的自动识别系统，在字符提取阶段，采用颜色提取的方法，使得尽管图片的字体颜
色与背景颜色相同，但只要亮度不同，也能很好的提取出字符部分。在字符分割过程中，采用增益方法识别边界，准确分割出单个字符。
并采用统计法和扫描法相结合的方法来识别数字.实验结果表明提出的方案可行，具有较强的鲁棒性.-Abstract: This paper presents a digital display digital meter dial readings of the automatic identification system, in the character extraction stage, using color extraction method, although the picture makes the font color and background color, but as long as the brightness of different, but also a very good extraction part of the characters. In the character segmentation process, the method used to identify the boundary gain, accurate segmentation of individual characters. And using statistical method and scanning method combined to identify the figures. The experimental results show that our proposal is feasible and has strong robustness. Platform: |
Size: 304128 |
Author:casey1986 |
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Description: P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数-P0801: Call Number text image segmentation P0802: adhesion character segmentation P0803: Character Recognition P0804: color plates partition P0805: text segmentation trademarks Recognition: Character Recognition Recognition Functions StrDetect01: the structure of character recognition feature extraction Functions Platform: |
Size: 48128 |
Author:林先生 |
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Description: 《Visual C++数字图像获取 处理及实践应用》配套源程序
本书全面系统地讨论了数字图像处理的理论、设计及应用。全书由自成体系而又互有联系的12章组成，分别讨论了位图及图像类的概念、图像获取、图像增强、图像复原、正交变换、压缩编码、图像配准、运动检测、特征提取、图像分割及识别的相关知识，基本涵概了从图像获取到图像处理的各个领域，并结合Microsoft公司面向对象的可视化集成编程系统Visual C++，给出了相应的算法和完整的源代码。- Visual C++ Digital image acquisition processing and practical application of complementary source book comprehensive and systematic discussion of the theory of digital image processing, design and application. Book by the self-and inter-linked to the composition of Chapter 12, respectively, discussed the types of digital maps and images of the concept, image acquisition, image enhancement, image restoration, orthogonal transform, compression, image registration, motion detection, feature extraction, image segmentation and identification of related knowledge, basic robust from the image acquisition to image processing in various fields and, in conjunction with Microsoft Corporation Visual object-oriented programming system integrated Visual C++, the corresponding algorithms and the complete source code. Platform: |
Size: 3291136 |
Author:ss |
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Description: 医学图像处理，绝得能用的细胞边缘检测，分割最佳阈值的迭代算法，轮廓提取受噪声影响的分析-Medical image processing, the cells must have to use edge detection, segmentation optimal threshold of iterative algorithm, contour extraction affected by noise analysis Platform: |
Size: 61440 |
Author:冯董 |
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Description: 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区
YC C
r b
域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度
)
(
信息定位眼睛, 然后根据人脸特征的几
形态边缘检测算子检测候选区域的边缘, 利用 边缘方向
PCA PCAED
( )
何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确
的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分
割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用 信息和几何特征信息检测人脸特征
PCAED
具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低
等特点。-
A novel approach for skin segmentation and facial feature extraction is proposed
The proposed skin segmentation is a method for integrating the chrominance components of
″″ . ″″
r b r b
nonlinear YC C color model The chrominance components of nonlinear YC C color space
,
are modeled using a subgaussian probability density function and then the face skin is seg
. ,
mented based on this function In order to authenticate the face candidate regions firstly tex
ture information in face candidate regions is segmented using mean and variance of luminance
, . ,
information and then the eye is located by the PCA edge direction information Finally the
, ,
others features such as nose and mouth also are detected using the geometrical shape infor
. 2 ,
mation As all the above mentioned techniques are simple and efficient the skin segmentation
.
based on nonlinear color spacemethod has the invariability of lighting and pose In the experi
, .
ments themethod has been successfull Platform: |
Size: 458752 |
Author:zz |
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Description: FSL这款软件所使用的脑部软组织提取文献，对大部分脑部MRI图像均可达到比较好的分割效果-The software used by FSL brain extraction of soft tissue literature, the majority of the brain MRI image segmentation can achieve better results Platform: |
Size: 397312 |
Author:霍丽琴 |
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Description: This paper proposes a new method of extracting and tracking
a nonrigid object moving while allowing camera movement. For object
extraction we first detect an object using watershed segmentation
technique and then extract its contour points by approximating the
boundary using the idea of feature point weighting. For object tracking
we take the contour to estimate its motion in the next frame by the
maximum likelihood method. The position of the object is estimated using
a probabilistic Hausdorff measurement while the shape variation is
modelled using a modified active contour model. The proposed method is
highly tolerant to occlusion. Because the tracking result is stable unless
an object is fully occluded during tracking, the proposed method can be
applied to various applications. Platform: |
Size: 2163712 |
Author:sacoura31 |
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Description: This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classi cation, etc.). Platform: |
Size: 1197056 |
Author:vikas |
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Description: 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welch based re-estimation and Viterbi algorithm involved in HMM. it helps much better understand the HMM algorithm and its application for speech recogntion. Platform: |
Size: 1179648 |
Author:wh |
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Description: 实现一种结合颜色空间、变换及变形模板的自动唇部定位及唇轮廓提取、跟踪方法首先在空间建立肤色模型进行人脸检测、定位, 并由人脸几何特征进行唇部粗定位然后结合唇色模型进行变换使肤、唇色差别明显化, 提出根据亮度信息对变换结果预处理后用法进行图像分割, 经唇色模型进一步验证后实现唇部精定位再使用变形模板来进行嘴唇轮廓特征提取, 为增强内轮廓定位的鲁棒性, 对经亮度预处理和唇色模型验证得到的口腔区域边缘图进行曲线拟合来实现内轮廓定位最后, 将唇读图像序列中上一帧的唇部定位结果拓展后作为当前帧的预测区域再进行处理来实现唇动跟踪。-To achieve a combination of color space, transform and deformable template automatic lip localization and lip contour extraction, tracking the establishment of the first color model in the space of face detection, location, geometric features of the face by the rough location and then combined with lip lip transformation so that the skin color model, lip color difference visible, presented the results according to the luminance information to transform the image after pretreatment use of segmentation, and further validated by the lip model to achieve precise positioning and then use the deformation of the lip template for lip contour extraction , to enhance the robustness of location within the outline, by the brightness of the pretreatment and the lip model validation by oral Quyu edge map to fit curve to achieve the final positioning within the contour, the lip-reading image sequence in the last frame of the lips After positioning results extend the forecast area as the current frame Platform: |
Size: 970752 |
Author:郭事业 |
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Description: In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. It is new formulation for the extraction of color features that will evaluate the input image in a multispace color representation. To achieve this, we will be using the opponent characteristics of the RGB and YIQ color spaces where the key component will be the inclusion of the Self Organizing Map (SOM) network in the computation of the dominant colors and estimation of the optimal number of clusters in the image. The texture features will be computed using a multichannel texture decomposition scheme based on Gabor filtering. Platform: |
Size: 347136 |
Author:rupesh |
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Description: 手形识别中采用肤色分割的算法，进行手形区域的提取，输出手形区域。-Hand-shape recognition algorithm using color segmentation, hand-shaped region extraction, hand-shaped area of the output Platform: |
Size: 1024 |
Author:liyan |
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Description: 采用最大方差法对前景图像进行二值分割 ，并通过扫描提取轮廓，最后对目标进行跟踪-using the maximum variance method for binary image segmentation and contour extraction by scanning ， finally track on the target by rectangle Platform: |
Size: 1024 |
Author:丁宏杰 |
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Description: 阈值分割和轮廓提取，通过取合理的阈值来区分图像边缘来达到提取效果-Threshold segmentation and contour extraction, by taking reasonable threshold to distinguish between the image edge to reach the extraction efficiency Platform: |
Size: 203776 |
Author:徐森 |
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Description: 提出了用提取轮廓分割识别目标图像的新方
法，即先对病害图像作反色运算，对得到的图像进行二值化后，再进行腐蚀运算，对其结果
作轮廓提取，可消除全部噪声。与传统轮廓提取方法相比，分割更为准确，几乎没有噪声。
-The proposed new method of identifying the target image segmentation by extracting contours, i.e. the first image on the disease as anti-color operation, after the obtained image is binarized, and then etching operation, and the results for contour extraction, can eliminate all noise. Compared with the conventional contour extraction method, segmentation is more accurate, almost no noise. Platform: |
Size: 21644288 |
Author:韩子晨 |
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Description: 全书由自成体系而又互有联系的12 章组成，分别讨论了位图及图像类的概念、图像获取、图像增强、图像复原、正交变换、压缩编码、图像配准、运动检测、特征提取、图像分割及识别的相关知识，基本涵概了从图像获取到图像处理的各个领域，并结合Microsoft 公司面向对象的可视化集成编程系统Visual C++，给出了相应的算法和完整的源代码。 -Encyclopedia by sui generis and related of chapter 12, respectively discusses the bitmap and the concept of image class, image acquisition, image enhancement, image restoration, orthogonal transformation, compression coding, image registration, motion detection, feature extraction, image segmentation and recognition of related knowledge, are the basic culvert image acquisition to the areas of image processing, and combining with object-oriented visualization of Microsoft company integrated Visual c++ programming system, presents the corresponding algorithms and the complete source code.
Platform: |
Size: 5490688 |
Author:吴哲 |
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Description: 针对目前传统的枸杞分级主要采用人工方法， 费时费力且效率不高的缺点， 提出了一种基于机器视觉技术对枸杞
进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 ， 从而提取枸杞的色泽、 大小及形状等特征
参数； 用 K-means 算法对特征进行聚类， 得到枸杞相应等级的基准； 根据聚类分析得到的基准采用最小距离分类器对枸杞
进行分级。 实验结果表明 ， 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting primarily uses artificial method. It has time-consuming and inefficient shortcomings. An
automatic wolfberry classification method based on machine vision is proposed. This paper uses digital image processing technology for wolfberry image pre-processing, segmentation and extraction of characteristic parameters of color, size and shape it
uses the K-means clustering feature to get the baseline of wolfberry appropriate level it grades wolfberry by minimum distance
classifier based on the trained benchmark. The experimental results show that this method can classify different colors and sizes
of wolfberry more accurately and quickly. Platform: |
Size: 1451008 |
Author:李祥龙 |
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Description: 基于LDC的图像过渡区提取与分割
提出一种基于局部清晰度-复杂度的图像过渡区提取算法,通过计算图像局部清晰度获得清晰度图 像,增加了过渡区灰度层次信息,再计算清晰度图像的局部复杂度,并根据复杂度曲线确定过渡区提取门限对过渡区进行提取,根据提取的过渡区灰度直方图,获得 图像的分割阈值并对图像进行分割。实验结果表明,本文方法比传统的基于局部复杂度法提取的过渡区更加准确,图像分割效果更好
-LDC image transition region extraction and segmentation based on a proposed resolution based on local- image transition region extraction algorithm complexity, obtained by calculating the local image sharpness resolution images, increase the transition zone gradation information, and then calculate clarity local complexity of the image, and according to the complexity of the curve to determine the transition region extraction threshold of the transition region is extracted, according to the extracted histogram transition area, obtaining an image segmentation threshold and image segmentation. Experimental results show that this method than the traditional extraction method based on local complexity of the transition zone is more accurate and better image segmentation results Platform: |
Size: 441344 |
Author:fangsm |
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Search - extraction by segmentation