文件名称:design
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- 上传时间:2012-11-16
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1)图像的读取和保存。
2)设计图形用户界面,让用户能够对图像进行任意的亮度和对比度变化调整,显示和对比变换前后的图像。
3)设计图形用户界面,让用户能够用鼠标选取图像感兴趣区域,显示和保存该选择区域。
4)编写程序通过最近邻插值和双线性插值等算法将用户所选取的图像区域进行放大和缩小整数倍的操作,并保存,比较几种插值的效果。
5)图像直方图统计和直方图均衡,要求显示直方图统计,比较直方图均衡后的效果。
6)能对图像加入各种噪声,并通过几种滤波算法实现去噪并显示结果。比较去噪效果。-1) read and save the image.
2) design a graphical user interface, allowing users to carry out any of the images adjusted for changes in brightness and contrast, display and compare the images before and after transformation.
3) design a graphical user interface, allowing users to select the image region of interest with the mouse, display and save the selected area.
4) write a program through the nearest neighbor interpolation and bilinear interpolation algorithms, such as the user selected image area to zoom in and out several times throughout the operation, and save, comparison of several interpolation results.
5) The image histogram and histogram equalization, histogram display statistics required to compare the results after histogram equalization.
6) can join a variety of image noise, and filtered through several denoising algorithms and displays the results. Compare denoising results.
2)设计图形用户界面,让用户能够对图像进行任意的亮度和对比度变化调整,显示和对比变换前后的图像。
3)设计图形用户界面,让用户能够用鼠标选取图像感兴趣区域,显示和保存该选择区域。
4)编写程序通过最近邻插值和双线性插值等算法将用户所选取的图像区域进行放大和缩小整数倍的操作,并保存,比较几种插值的效果。
5)图像直方图统计和直方图均衡,要求显示直方图统计,比较直方图均衡后的效果。
6)能对图像加入各种噪声,并通过几种滤波算法实现去噪并显示结果。比较去噪效果。-1) read and save the image.
2) design a graphical user interface, allowing users to carry out any of the images adjusted for changes in brightness and contrast, display and compare the images before and after transformation.
3) design a graphical user interface, allowing users to select the image region of interest with the mouse, display and save the selected area.
4) write a program through the nearest neighbor interpolation and bilinear interpolation algorithms, such as the user selected image area to zoom in and out several times throughout the operation, and save, comparison of several interpolation results.
5) The image histogram and histogram equalization, histogram display statistics required to compare the results after histogram equalization.
6) can join a variety of image noise, and filtered through several denoising algorithms and displays the results. Compare denoising results.
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design.fig
design.m
design.m
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