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[Graph program] beijingchafen

Description: 用于水下视频监控系统的背景查分算法，用matlab编写-Underwater video monitoring system for the background check sub-algorithm, matlab write
Platform: | Size: 2048 | Author: | Hits:

[Graph program] RGB_to_gray

Description: 根据RGB图像创建一幅灰度图像，用于水下视频监控系统-According to RGB image to create a gray scale image, for underwater video monitoring system
Platform: | Size: 3072 | Author: | Hits:

[Graph program] snake

Description: 基于snake模型的图像分割，用于水下视频监控系统-Based snake model for image segmentation, for underwater video monitoring system
Platform: | Size: 31744 | Author: | Hits:

[Graph program] tezhengtiqu

Description: 基于特征提取技术的源程序，用于水下视频监控-Feature extraction technique based on source code, for underwater video surveillance
Platform: | Size: 55296 | Author: | Hits:

[Other] SeeingThroughWater.pdf

Description: We consider the problem of recovering an underwater image distorted by surface waves. A large amount of video data of the distorted image is acquired. The problem is posed in terms of finding an undistorted im- age patch at each spatial location. This challenging reconstruction task can be formulated as a manifold learning problem, such that the center of the manifold is the image of the undistorted patch. To compute the center, we present a new technique to estimate global distances on the manifold. Our technique achieves robustness through convex flow com- putations and solves the “leakage” problem inherent in recent manifold embedding techniques.
Platform: | Size: 546816 | Author: asdf12341234 | Hits:

[GUI Develop] Camera2

Description: 海底视频监控界面的上位机程序，可以全屏显示，有数据显示等功能-The PC program underwater video monitoring interface, full screen display, data display and other functions
Platform: | Size: 23499776 | Author: 陈启 | Hits:

[matlab] DeepLearnToolbox_CNN_lzbV2.0

Description: DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子邮件：luzhenbo2@qq.com 个人博客: http://blog.sina.com.cn/luzhenbo2 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：数据挖掘，数字信号(图像、视频)处理，人工智能与模式识别，群体智能优化，非线性与混沌，支持向量机，Matlab与VC++混编 擅长技能：战略规划，团队管理，C，C++，Matlab，OpenCV，DSP，并行计算，图像处理，模式识别，机器学习，智能视觉，神经网络，人脸检测，行人检测，车牌识别，机器视觉，特征提取，支持向量机，无人驾驶，自动驾驶，智能眼镜，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，数据挖掘，大数据 -DeepLearnToolbox CNN lzbV2.0 Deep Learning, convolution neural network, Matlab toolbox reference: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox Author: Lu Zhenbo E-mail: luzhenbo2@qq.com Personal blog: http://blog.sina.com.cn/luzhenbo2 Graduated: Naval University of Engineering, Naval Architecture and Marine Engineering (Underwater Acoustic), Dr. Proficient direction: data mining, digital signal (image, video) processing, artificial intelligence and pattern recognition, swarm intelligence optimization, nonlinear and chaotic, support vector machines, Matlab and VC++ mixed Good skills: strategic planning, team management, C, C++, Matlab, OpenCV, DSP, parallel computing, image processing, pattern recognition, machine learning, intelligent vision, neural networks, face detection, pedestrian detection, lice
Platform: | Size: 980992 | Author: 陆振波 | Hits:

[Software Engineering] under-water--to-picture-

Description: 这是一个实际项目应用，关于图象视频采集方案，对于研究水下成象有一定帮助-This is a practical project application, on the video image acquisition program, for the study of underwater imaging has some help
Platform: | Size: 47104 | Author: 王安良 | Hits:

[Other] han_v42

Description: 基于chebyshev的水声信号分析，实现了图像的灰度化并进一步用于视频监视控，正确率可以达到98％。- Based chebyshev underwater acoustic signal analysis, Achieve a grayscale image and further control for video surveillance, Accuracy can reach 98 .
Platform: | Size: 10240 | Author: 陈勤宏 | Hits:

[Graph program] Assuerwat

Description: Assume that we look through the moving water surface and observe an underwater object (for example, a coral reef(we would notice that the object is distorted due to the effect of light refraction and motion blur. Such phenomena can be recorded by a stationary video camera above the water. Each image in the video stream may be degraded and blurred. Figure 1 shows a sample sequence of distorted images)
Platform: | Size: 216064 | Author: song86 | Hits:

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