Location:
Search - matlab rgb gui
Search list
Description: 在 RGB、HSV、YCBCR三个空间，实现印章的提取，设计了MATLAB GUI界面，综合利用三空间的特点，高质量地从复杂背景中提取印章。
Platform: |
Size: 901295 |
Author: nudtlijinhui |
Hits:
Description:
Platform: |
Size: 2930688 |
Author: turshp |
Hits:
Description: 有关图像的RGB三色的合成、分离，还用到了Matlab中得gui界面的设置。-Three-color RGB images related to the synthesis, separation, also used in Matlab, was gui interface settings.
Platform: |
Size: 250880 |
Author: chenye |
Hits:
Description: 在人性化的GUI界面上，在RGB、HSV、YCBCR进行印章提取；-recognize the target in the space of RGB,HSV and YCBCR with Matlab GUI
Platform: |
Size: 901120 |
Author: ljhui |
Hits:
Description: matlab gui iterface finding objectes triangle and squere and cuircles grayscale images browse images histogram convert rgb image toblack and white -matlab matlab gui iterface finding objectes triangle and squere and cuircles grayscale images browse images histogram convert rgb image toblack and white
Platform: |
Size: 19456 |
Author: nashwa |
Hits:
Description: 利用RGB特征进行印章识别的带GUI的matlab程序-RGB characteristics of seal identification with GUI Matlab program
Platform: |
Size: 910336 |
Author: 鱼头 |
Hits:
Description: matlab 图形图像处理。通过GUI，用户可以自由的变换RGB颜色等等。-The color of each pixel in an image is specified by a combination of three values: red, green, and blue. These values typically take 256 levels, leading to 256^3 ~ 17 million possible colors.
In this GUI you can set a threshold value for each channel (R/G/B). If the color is above the threshold, it takes the maximum value (255) if not, it takes the minimum value (0). This "all or nothing" approach means that each color channel has only two possible levels, resulting in only 2^3 = 8 colors.
Hence, each of the 17 million possible colors is "rounded" to one of: red, green, blue, cyan, yellow, magenta, black, and white.
The result is an effect reminiscent of Andy Warhol s iconic celebrity paintings.
Platform: |
Size: 89088 |
Author: 林真天 |
Hits:
Description: matlab简单GUI设计，打开文件夹，显示图像及RGB各通道，转换为灰度图，负像，及图像的保存-Matlab GUI
Platform: |
Size: 38912 |
Author: MayTree |
Hits:
Description: 用Matlab GUI 开发的一个工具，主要用具实时视频图像的RGB检测。-RGB Color Detection in Images Real Time Video
Platform: |
Size: 290816 |
Author: chang |
Hits:
Description: matlab编写的图像处理GUI小程序，实现（1）对一幅暗RGB图像的直方图均衡，（2）并分别在R、G、B通道进行直方图均衡，RGB三个分量可通过滑块调节，（3）用HSI模型增强图像。附有具体的文档说明。-MATLAB image processing GUI program, to achieve (1) to a pair of dark RGB image histogram equalization, (2) and in the R, G and B channels of histogram equalization, the RGB three components can be by adjusting the slider, (3) the HSI color model was used to enhanced image. With a detailed documentation
Platform: |
Size: 209920 |
Author: 蔡颖 |
Hits:
Description: 使用Matlab软件，借助GUI控制台提取照片RGB。可求取植物或植被的物候。(Extract RGB Value by Matlab software)
Platform: |
Size: 11264 |
Author: Rui1989
|
Hits:
Description: 一、课题介绍：本课题为基于MATLAB的平面参数测量系统，是以一个带缺陷的光伏面板作为素材，检测出缺陷所在，定位后计算出每个缺陷的面积大小。本设计带有一个人机界面GUI.
二、算法流程：读入测试图片——rgb转换——分割——开闭运算——空洞填充——过滤微小连通域面积——计算缺陷面积和个数。(1. Topic introduction: this topic is a plane parameter measurement system based on MATLAB. It uses a photovoltaic panel with defects as the material, detects the defects, and calculates the area size of each defect after positioning. This design has a personal computer interface GUI
2. Algorithm flow: read in the test picture - RGB conversion - segmentation - opening and closing operation - cavity filling - filter the area of micro connected area - calculate the defect area and number.)
Platform: |
Size: 942080 |
Author: www.wobishe.com |
Hits:
Description: 该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤，一是进行图像去雾，采用暗通道的方法获取光透射率，从而去除雾霾。得到清晰的图片后，利用颜色的方法进行交通标志的定位，众所周知，交通标志基本是红，蓝，黄三色组成，根据RGB不同组合可以定位到不同颜色，因为存在误差，所以需要借助形态学相关知识，将得到的误干扰面积去除，从而实现精准定位。定位后，在原图基础上进行分割出彩色图标，利用bp神经网络方法，进行训练，识别，从而得出结果。本设计配有一个GUI可视化界面，操作简单容易上手。是个不错的选题。(This project is a traffic sign recognition system based on Matlab bp neural network in haze weather. There are two steps. One is image defogging, and the dark channel method is used to obtain light transmittance to remove haze. After getting clear pictures, use color method to locate traffic signs. As we all know, traffic signs are basically composed of red, blue and yellow. According to different combinations of RGB, different colors can be located. Because there are errors, we need to use morphological knowledge to remove the error interference area, so as to achieve accurate positioning. After positioning, the color icon is segmented on the basis of the original image. The BP neural network method is used to train and identify the color icon, and the result is obtained. This design is equipped with a GUI visual interface, which is easy to operate. It's a good topic.)
Platform: |
Size: 83507200 |
Author: 可乐一生 |
Hits: