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- 课程的目的学习了解BMP的图像的结构，学会对BMP图像进行各种处理，图像平滑是指用于突出图像的宽大区域、低频成分、主干部分或抑制图像噪声和干扰高频成分，使图像亮度平缓渐变，减小突变梯度，改善图像质量的图像处理方法。数字图像处理中图像锐化同样是一个重要的部分，其目的有两个：一是使灰度反差增强，增强图像的边缘，使模糊的图像变得清晰起来；这种模糊不是由于错误操作，就是特殊图像获取方法的固有影响。二是提取目标物体的边界，对图像进行分割，便于目标区域的识别等。通过图像的锐化，使得图像的质量有所改变，产生更
fourth-order
- 采用邻域平均法的均值滤波器非常适用于去除通过扫描得到的图像中的颗粒噪声。领域平均法有力地抑制了噪声,同时也由于平均而引起了模糊现象,模糊程度与领域半径成正比。-Neighborhood average method is used to mean filter is very suitable for removing particulate noise in the image is obtained by scanning.Area average method effectively su
fuzzyenhancement
- 一种基于模糊集增强的图像处理算法，可以降噪和锐化图像-Fuzzy set enhanced image processing algorithm, noise reduction and can sharpen the image
Bilateral_Filter
- 图像的双边滤波，双边滤波在去除图像噪声的同时，并不会使图像的边缘发生模糊-Bilateral filtering process using bilateral filtering to remove noise at the same time, does not happen fuzzy edges
easourfd
- that arises the surface coil array. This entropy-based method does not require classification and robustly addresses some problems that are more severe than those found in brain imaging, including noise, steep bias field, sensitivity of arter
Inverse-filtering--image-recovery
- 运动模糊加噪声图像逆滤波复原，加入高斯白噪声以及运动模糊模型，使用逆滤波复原-Inverse filtering motion blur and noise image restoration, add white gaussian noise and fuzzy model, using the inverse filtering
Fuzzrinmealenc
- Fuzzy c-means (FCM) clustering has been widely used in image segmentation. However, in spite of its computational efficiency and wide-spread prevalence, the FCM algorithm does not take the spatial information of pixels into consideration, and hence m
中值滤波
- 中值滤波可以保留目标边缘，这是中值滤波器相对于均值滤波器的最大优势。中值滤波具有去噪的性能，可以消除孤立的噪声点，可以用来减弱随机干扰和脉冲干扰，但是边缘不模糊。(Median filter can retain the target edge, which is the maximum advantage of median filter compared to mean filter. The median filter has the performance of denoising, w