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自己用vc6.0结合bcgcb界面库开发的分离视图窗口实例
- 自己用vc6.0结合bcgcb界面库开发的分离视图窗口实例： 1.优美的界面，从标题栏、菜单栏、工具栏、状态栏均为自画图片背景，并随窗口大小动态调准； 2.分离视图，上下左右三个视窗，可实现上两视窗做工作区视窗，范例采用了treeview，下视窗作为日志视窗，范例采用了listctrl； 3.范例treeview视窗间实现了左右拖曳关联的功能，可将左右树节点相互关联，相当实用。-Their interface with vc6.0 with bcgcb database dev
Image
- 采用GdI+编程实现了，图像的读入，图像像素数据的采集和分析，通过线性判别函数和一个圆形判别函数来分离图像和背景-By GdI+ programming, and read the image, the image pixel data collection and analysis, linear discriminant function and a circular discriminant function to separate the image and the background
sanzhenchafa
- 利用三帧帧差法实现视频图像的前景与背景的分离-Three frame difference method of video image foreground and background separation
paper_ICIP06
- 视频流中前景背景分离非常不错的算法。能适应阴影，水波，树枝晃动等复杂环境-BACKGROUND MODELING FROM GMM LIKELIHOOD COMBINED WITH SPATIAL AND COLOR COHERENCY
bitmap.raw
- 打开位图，并且能够连续播放位图，同时推每张图片进行边缘提取，以分离出背景和目标-Open the bitmap, the bitmap and can play continuously, while pushing each image for edge extraction, to separate the background and objectives 朗读显示对应的拉丁字符的拼音 字典 翻译以下任意网站Arte Toreo-西班牙语Onet.pl-波兰语La Inf
zhenchafa
- 利用二帧帧差法来实现视频图像中前景与背景的分离-Two frame difference method to achieve the separation of the foreground and background in the video images
FIND-MORSE-CODE
- 将背景音乐（交响乐）中的摩斯电码找出并分离出来-morse_code_sound.wav is a mono (1-channel) 11,025 samples per sec, 16-bits per sample, WAV file. There is a morse code signal within the audio file, you should be able to hear it in the background, but it is not very audible (
BackgroundCodebookConstruction
- 背景分离码本建模法，在静态背景下检测运动物体，并提供了一段监控视频以供测试-Background Modeling and Subtraction by Codebook Construction. Supply a video for testing.
main
- 视频车辆识别，通过背景建模的方法分离出运动的前景。-Video vehicle identification, isolated foreground moving through background modeling approach.
20_bgfg_gmgafff
- 图像前后背景分离代码 亲测好用 执行效率高(thanks for your arrival)
vibe-sources
- 背景提取算法VIBE实时动态监测运动人物，从背景中分离识别(Background extraction)
背景差分法检测运动目标
- 背景差分法检测目标，用于背景为静态的，检测目标，背景图像与前景图像相分离(Background subtraction is used to detect targets for static background)
VSP文献
- 关于VSP资料处理的文章，偏重波的分离、背景噪声去除。(The articles about VSP data processing, the separation of waves and the removal of background noise are emphasized.)
music-source-separation-master
- 基于深度学习的唱声分离，可以将带有配乐的音乐分离出背景与唱声。(Sings separation based on deep learning)
CFAR
- 基于高斯分布的CFAR检测算法(双参数CFAR检测)，输入一个确定的虚警概率，在满足一定虚警率的情况下对图像进行分割，实现目标与背景的分离。(The CFAR detection algorithm based on Gauss distribution (two-parameter CFAR detection) inputs a certain false alarm probability, and segmentes the image to achieve the separation