image-sharpness

说明：  三维受激布里渊散射谱使用MATLAN仿真(Stimulated Brillouin Scattering)

说明：  进一步讨论怎么样进行虹膜眼睛的位置确认，区域生长法确定内圆轮廓(To further discuss how to confirm the position of the iris eye and determine the inner circle contour by region growth method)

说明：  医学图像图像配准方法，采用了经典的基于灰度的方法。(This is a general purpose registration method for medical images. )

对彩色图像进行小波融合，融合后图像在视觉上有了很大的改善。(Color images of wavelet fusion images visually a great improvement.)

图像检索——提取颜色特征：HSV空间颜色直方图(将RGB空间转化为HSV空间并进行非等间隔量化，将三个颜色分量表示成一维矢量，再计算其直方图作为颜色特征。(Image Retrieval- extract color features: HSV space color histogram (RGB space into the HSV space and the non-interval to quantify the three color components expressed as a one-dimensional vector, then calculate the color histogram as a feature.)

houph变换，通过梯度函数得到图像的梯度矩阵，通过检测圆检测眼睛位置。(houph transform, through the gradient function to be the image gradient matrix, circle detection by detecting the location of the eyes.)

说明：  不管对于图像的编码还是解码，三次样条算法的性能都是很好的，然后由于计算量比较大使他的效率有所下降，在次提出了一个考虑算法质量的前提下的快速算法。(regardless of the coding for images or decoding, cubic spline algorithm performance are good, and then because of the comparison calculation of the efficiency Ambassador he declined, in a meeting of the algorithm to consider the quality of the fast algorithm.)

灰度直方图规定化算法实现分析，直方图规定化，直方图均衡化，图像增强()

document about computer vision - image processing

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )