Description: 這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式-1- Read the RGB (colored) image in from user.
2- Convert image from (RGB) colored to gray image.
3- Threshold the image (convert gray image to binary image).
4- Invert the binary image (in order to speed up the time of processing).
5- Find the boundaries concentrate.
6- Determine shapes properties (ratio of dimensions, roundness).
7- Classify shapes according to its properties. Platform: |
Size: 51200 |
Author:tom |
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Description: 将彩色图像转换成灰度图像的程序，也可以转换成二值图像。-Color images will be converted into gray-scale image of the procedure can also be converted into binary image. Platform: |
Size: 4034560 |
Author:刘恒 |
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Description: A Graphical user interface for image enhancement. You can set the contrast, color, sharpness as well as you can convert the rgb image to gray Platform: |
Size: 19456 |
Author:HirenParmar |
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Description: 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image Platform: |
Size: 335872 |
Author:caoliang |
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Description: In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
-In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
Platform: |
Size: 2048 |
Author:pramod |
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Description: 灰度图像转换伪彩色图像,MATLAB
一个简单的程序来转换灰度图像伪彩色图像。通过改变的条件和程序中使用的值，你可以创建一个更完美的伪彩色图像。-A simple program to convert gray level image to pseudo color images. By altering the conditions and values used in the program, you can create a more perfect pseudo color image. Platform: |
Size: 74752 |
Author:da liu |
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Description: 能将256色图像转换为黑白图像，程序简单易行，适合初学VC者练笔。-Able to convert 256-color image black and white images, the program is simple, suitable for beginners who Lianbi VC. Platform: |
Size: 839680 |
Author:李申 |
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Description: 图像处理系统是一个典型的图像处理软件，它由图像显示、图像转换、图像处理、字符识别、其他和帮助等几部分组成。图像显示模块主要包括显示位图、显示JPEG、显示GIF 3个部分；图像转换模块主要包括位图转换为JPEG、JPEG转换为位图、位图转换为GIF，GIF转换为位图4个部分；图像处理模
块主要包括图像旋转、图像锐化处理、图像反色处理、灰度化处理、线性变换5个部分；字符识别模块主要包含手写数字识别；其他模块主要包括设置菜单的固定颜色和随机颜色两个部分；帮助模块主要包括软件的版本、开发单位等信息。-Image processing system is a typical image processing software, which consists of image display, image conversion, image processing, character recognition, and help a few other parts. Image display module includes display a bitmap, display JPEG, GIF 3-part show image conversion module includes a bitmap is converted to JPEG, JPEG convert a bitmap, the bitmap is converted to GIF, GIF convert bitmap four parts image processing module
Block includes image rotation, image sharpening, image anti-color processing, gray scale processing, linear five parts character recognition module consists mainly of handwritten numeral recognition other modules include a fixed set menu of two colors and random colors parts help module includes software version, the developer and other information. Platform: |
Size: 8663040 |
Author:穴习中 |
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Description: 主要功能
图像处理系统是一个典型的图像处理软件，它由图像显示、图像转换、图像处理、字符识别、其他和帮助等几部分组成。
图像显示模块
该模块主要包括显示位图、显示JPEG、显示GIF 3个部分。
图像转换模块
该模块主要包括位图转换为JPEG、JPEG转换为位图、位图转换为GIF，GIF转换为位图4个部分。
图像处理模块
该模块主要包括图像旋转、图像锐化处理、图像反色处理、灰度化处理、线性变换5个部分。
字符识别模块
该模块主要包含手写数字识别。
其他
该模块主要包括设置菜单的固定颜色和随机颜色两个部分。
帮助模块
该模块主要包括软件的版本、开发单位等信息。
-Main function
Image processing system is a typical image processing software, which consists of image display, image conversion, image processing, character recognition, and help a few other components.
image display module
The module includes display a bitmap, display JPEG, GIF 3-part show.
image conversion module
The module includes a bitmap into JPEG, JPEG convert a bitmap, the bitmap is converted to GIF, GIF converted to a bit-part in Figure 4.
image processing module
The module includes image rotation, image sharpening, image anti-color processing, gray scale processing, linear transformations five parts.
character recognition module
This module contains the handwritten numeral recognition.
Other
The module includes a fixed set menu colors and random colors in two parts.
Help Module
The module includes the software version, the developer and other information.
Platform: |
Size: 8664064 |
Author:张成 |
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Description: 伪彩色增强，通过密度分割法将灰度图像转换为彩色图像-Pseudo-color enhancement, through the density of gray image segmentation method to convert color images Platform: |
Size: 14336 |
Author:lengxiangguang |
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Description: 主要功能是将彩色图片转成灰度图，并且附带了可以测试用的Lena图片，希望大家分享。-The function is to convert color image into gray image,togethered with the test pictures. Platform: |
Size: 159744 |
Author:ChristinaZhang |
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Description: 图像处理系统是一个典型的图像处理软件，它由图像显示、图像转换、图像处理、字符识别、其他和帮助等几部分组成。
图像显示模块
该模块主要包括显示位图、显示JPEG、显示GIF 3个部分。
图像转换模块
该模块主要包括位图转换为JPEG、JPEG转换为位图、位图转换为GIF，GIF转换为位图4个部分。
图像处理模块
该模块主要包括图像旋转、图像锐化处理、图像反色处理、灰度化处理、线性变换5个部分。
字符识别模块
该模块主要包含手写数字识别。
其他
该模块主要包括设置菜单的固定颜色和随机颜色两个部分。
帮助模块
该模块主要包括软件的版本、开发单位等信息。-The image processing system is a typical image processing software, image display, image conversion, image processing, character recognition, and other help, such as a few parts. The image display module The module display bitmap display JPEG, GIF 3 parts is displayed. The image converter module The module includes bitmap conversion to JPEG, JPEG converted to bitmaps, bitmap conversion to GIF, GIF, convert bitmap four parts. The image processing module The module includes image rotation, image sharpening, image anti-color processing, gray scale processing, linear transformation of five parts. Character recognition module This module contains handwritten numeral recognition. The other module, including the two parts of the setup menu fixed colors and random colors. Help module The module includes a version of the software development units. Platform: |
Size: 6223872 |
Author:唐思腾 |
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Description: The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
-The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
Platform: |
Size: 41984 |
Author:Lee Kurian |
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Search - convert gray image to color