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[Special EffectsImageProBase

Description: Visual C++开发数字图像处理应用程序的入门上手的编程框架方法,功能包括图像的读取、存储、打印及基本处理如直方图、负片、均衡、拉伸等,附带了常用API库函数DIBAPI、ProcessAPI的源代码,其它则靠自己深入扩充了。-Visual C development of digital image processing applications adapt to the entry of the programming framework, including the function of the image read, store, print and basic treatment such as histogram, Negative, balanced, tensile, fringe for a common API function DIBAPI, ProcessAPI the source code, since they rely on the other depth has expanded.
Platform: | Size: 175701 | Author: 任勇 | Hits:

[Special EffectsImageProBase

Description: Visual C++开发数字图像处理应用程序的入门上手的编程框架方法,功能包括图像的读取、存储、打印及基本处理如直方图、负片、均衡、拉伸等,附带了常用API库函数DIBAPI、ProcessAPI的源代码,其它则靠自己深入扩充了。-Visual C development of digital image processing applications adapt to the entry of the programming framework, including the function of the image read, store, print and basic treatment such as histogram, Negative, balanced, tensile, fringe for a common API function DIBAPI, ProcessAPI the source code, since they rely on the other depth has expanded.
Platform: | Size: 175104 | Author: renyong0801 | Hits:

[GDI-BitmapFigure

Description: 本代码演示了利用GDI+实现数字图像处理:边缘检测、底片化、暗化等处理-This code demonstrates the use of GDI+ Realize digital image processing: edge detection, negative and dark, such as treatment
Platform: | Size: 107520 | Author: wangke | Hits:

[JSP/JavajQueryAjaxGuestbook

Description: jquery+ajax无刷新评论源码 实现了获取评论无刷新,发表评论无刷新,页面获取评论时显示loading加载效果 jquery真的是一个非常优秀的JS库,简单容易掌握,对于网页中的多级菜单、级联效果、Tab选项卡切换、图片轮转显示, 实现起来都非常的简单,往往就是几句代码的事。 做AJAX应用,jquery提供的$.get()、$.post()函数都可以用于提交数据,但建议使用$.ajax()来提交,那两个函数都不 提供错误返回信息,不利全面掌控。 提交数据是action代表要执行的操作,id传递文章id,page是请求的分页页面,Math.round(Math.random()*10000) 防止页面被浏览器缓存而导致暂时无法刷新,如果出错显示错误信息 客户端用escape()函数编码含中文的字符串,服务器端用unescape()解码,这样做是为了防止乱码,如果你采用的是utf8, 那就不必了,设置正确的页面编码和服务端脚本编码就不会出问题。由于jquery默认使用utf8传输数据,而且不提供设置编码, 这里只有自己做转换,如果你用form插件的时候就会发现,编码问题是不能回绝的。-jquery+ ajax without refreshing comment source code Achieved to obtain comment on non-refresh comments without refreshing the page displayed when loading loading access to comment on results jquery is really a very good JS libraries, simple and easy to grasp, for the multi-level menu page, cascading effects, Tab tab switching, image rotation showed that To achieve them are very simple, the code is often a few things. Do AJAX applications, jquery provided $. Get (),$. post () functions can be used to submit data, but recommended the use of $. Ajax () to submit, then the two functions are not Provide the error information back to full control of the negative. Action on behalf of the data is presented to perform the operation, id pass the article id, page is a page request page, Math.round (Math.random ()* 10000) The browser cache to prevent the page is temporarily unable to refresh a result, if the error display an error message The client with the escape () f
Platform: | Size: 90112 | Author: Lachlan | Hits:

[matlabImageProcessingbyYikwang

Description: This ia s simple Matlab code on image processing. It perform a negative on image, enhance the image and convert the image to gray-scale.
Platform: | Size: 56320 | Author: Tan | Hits:

[matlabques5

Description: Write MATLAB code that will do the following enhancement. (a) Manipulate image brightness. (b) Manipulate image contrast. (c) Perform image negative on binary and gray image. (d) Perform log transform. (e) Perform power-law transform
Platform: | Size: 67584 | Author: Rokibul Ahmed | Hits:

[matlabques9

Description: Write MATLAB code that will do the following. (a) Import a RGB image and display all planes in individual colours. (b) Convert RGB HSI and HSI RGB. (c) Perform adaptive histogram using RGB and HSI image. (d) Manipulate image brightness. (e) Manipulate image contrast. (f) Perform image negative. (g) Perform log transform. (h) Perform power-law transform. (i) Image smoothening. (j) Image sharpening. (k) Edge detection. (l) Perform pseudo colouring on a grey image.
Platform: | Size: 82944 | Author: Rokibul Ahmed | Hits:

[matlabescpmkwi

Description: 仿真效率很高的,基于负熵最大的独立分量分析,通过matlab代码,是国外的成品模型,信号处理中的旋转不变子空间法,用于图像处理的独立分量分析,FMCW调频连续波雷达的测距测角。- High simulation efficiency, Based on negative entropy largest independent component analysis, By matlab code, Foreign model is finished, Signal Processing ESPRIT method, Independent component analysis for image processing, FMCW frequency modulated continuous wave radar range and angular measurements.
Platform: | Size: 10240 | Author: wywkqj | Hits:

[matlabetaufvef

Description: 仿真效率很高的,基于负熵最大的独立分量分析,通过matlab代码,是国外的成品模型,信号处理中的旋转不变子空间法,用于图像处理的独立分量分析,FMCW调频连续波雷达的测距测角。- High simulation efficiency, Based on negative entropy largest independent component analysis, By matlab code, Foreign model is finished, Signal Processing ESPRIT method, Independent component analysis for image processing, FMCW frequency modulated continuous wave radar range and angular measurements.
Platform: | Size: 9216 | Author: wywkqj | Hits:

[matlabrccmngtd

Description: 在MATLAB中求图像纹理特征,基于负熵最大的独立分量分析,最大信噪比的独立分量分析算法,模式识别中的bayes判别分析算法,通过matlab代码,考虑雨衰 阴影 和多径影响。- In the MATLAB image texture feature, Based on negative entropy largest independent component analysis, SNR largest independent component analysis algorithm, Pattern Recognition bayes discriminant analysis algorithm, By matlab code, Consider shadow rain attenuation and multipath effect.
Platform: | Size: 8192 | Author: ixtgpxf | Hits:

[matlabgengyan_v27

Description: 基于负熵最大的独立分量分析,完整的图像处理课设,包含所有源代码,汽车图像,旋转机械二维全息谱计算。- Based on negative entropy largest independent component analysis, Complete class-based image processing, contains all of the source code, auto image, Rotating machinery 2-d holographic spectrum calculation.
Platform: | Size: 6144 | Author: fun | Hits:

[Otherkailai

Description: 基于负熵最大的独立分量分析,滤波求和方式实现宽带波束形成,完整的图像处理课设,包含所有源代码,汽车图像。- Based on negative entropy largest independent component analysis, Filtering summation way broadband beamforming, Complete class-based image processing, contains all of the source code, auto image.
Platform: | Size: 6144 | Author: pao | Hits:

[Othersun

Description: 通过matlab代码,基于负熵最大的独立分量分析,用于图像处理的独立分量分析。- By matlab code, Based on negative entropy largest independent component analysis, Independent component analysis for image processing.
Platform: | Size: 8192 | Author: 赵向 | Hits:

[matlabqiutiu

Description: 在MATLAB中求图像纹理特征,基于负熵最大的独立分量分析,最大信噪比的独立分量分析算法,模式识别中的bayes判别分析算法,通过matlab代码,考虑雨衰 阴影 和多径影响。 - In the MATLAB image texture feature, Based on negative entropy largest independent component analysis, SNR largest independent component analysis algorithm, Pattern Recognition bayes discriminant analysis algorithm, By matlab code, Consider shadow rain attenuation and multipath effect.
Platform: | Size: 7168 | Author: qennuiyao | Hits:

[Special Effectsdehazing-executable-file

Description: 去雾matlab代码 Gao Y, Hu H M, Wang S, et al. A fast image dehazing algorithm based on negative correction[J]. Signal Processing, 2014, 103(10):380-398. 论文配套matlab 代码 code-matlab code for Gao Y, Hu H M, Wang S, et al. A fast image dehazing algorithm based on negative correction[J]. Signal Processing, 2014, 103(10):380-398.
Platform: | Size: 2711552 | Author: 李佳佳 | Hits:

[AI-NN-PReg710

Description: 基于负熵最大的独立分量分析,可以动态调节运行环境的参数,完整的图像处理课设,包含所有源代码,汽车图像。- Based on negative entropy largest independent component analysis, Can dynamically adjust the parameters of the operating environment, Complete class-based image processing, contains all of the source code, auto image.
Platform: | Size: 6144 | Author: 李国元 | Hits:

[Technology ManagementMicroaneurysms Extraction with vessel Neighborhood separation, SVM and connected component extraction

Description: Diabetic retinopathy is an important branch of ophthalmology. Non - proliferative diabetic retinopathy is used to detect Microaneurysms in the early stage. Microaneurysms are verified through fundus images; where in the fine red-dots near the blood vessels confirm this defect. Conventional methods and their weak resolution seldom can identify to such accuracies. In this work, we present a procedure to identify Microaneurysms with higher accuracy. The retinal vessels are extracted, from collected fundus image, using a Gabor wavelet which delivers high accuracy output. For accurate analysis the image it is sub divided into two regions, neighborhood and non-vessel neighborhood for expediting support vector machine (SVM) analysis. Further the SVM engine is trained for positive and negative samples of identified region fundus images. Then by sliding window technique, the entire test image is analyzed limiting analysis by SVM engine for near vessel region. This improves overall performance of the analysis and permits time available for a deeper/ sensitivity analysis of near vessel areas. The logic and the code has been tested on sample images and the results have been satisfactory.
Platform: | Size: 561690 | Author: praneethtm@gmail.com | Hits:

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