JPEG_report_CUDA

虹膜识别中的特征提取算法：2D-Gabor滤波器算法，将归一化的虹膜图像由此滤波器滤波，可以得到二进制的特征编码。附图片。(Iris recognition in the feature extraction algorithm: 2D-Gabor filter algorithm, the normalized iris image resulting filter can be obtained characteristics of the binary encoding. Attached picture.)

将语音文件.wav转化为FPGA所需的.mif文件(The voice file. Wav into the FPGA required. Mif file)

图像压缩经典EZW算法 可提初学者学习参考使用(image compression EZW)

利用hough变换检测图像中的形状圆和直线，以及图像几何变换(detecting image circle or line using hough transformation and transformation)

本代码主要是基于HSV的阴影检测及消除，分别提取前景及背景图像，进行色彩空间转换。HSV空间类似人类感觉色彩的方式，可以更加准确地识别阴影，并保持在计算上简单。(This code is mainly based on the HSV shadow detection and elimination, extract the foreground and the background image, respectively, for color space conversion. HSV space is similar to the ways the human feel color, can more accurately identify the shadow, and keep it simple in calculation. )

ct 平行束滤波反投影重建算法matlab 分为创建原始图像 投影 滤波重建三个文件(matlab fbp reconstruction algorithm which can be used for CT image reconstruction)

本文档主要用于图像的倾斜矫正，通过建立透视变换矩阵和强角点检测实现畸变图形的矫正(This document is mainly used for Image tilt correction, through the establishment of perspective transformation matrix and strong corner detection, to achieve distortion correction)

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)

说明：  改进了Criminisi算法，采用P-laplace算子作为数据项进行优先级计算，并有计算PSNR的功能(Improved Criminisi algorithm, using P-laplace operator as data items priority basis, and have calculated the functions of PSNR)

文字识别的结构特征提取子函数。对不同字型的字进行提取。(Character Recognition structural feature extraction Functions. Text of different characters extracted.)