demo

BM3D去噪算法开源代码，不是MATLAB的保密脚本文件，可更改(BM3D,image denoising algorithm)

经过测试的基于sift程序的图像拼接。以lowe的程序为sift提取核心程序，此外还包括ransac算法，单应矩阵提取，图像融合（包括加权融合以及平均融合）算法，融合效果在testnew中可见。(Image mosaic based on sift program tested. The lowe program sift extract the core program, in addition to including ransac algorithm homography extract image fusion (including fusion weighted average fusion) algorithm, fusion effect is visible in testnew.)

图像经过Contourlet变换后，加水印(After Contourlet transform images, add watermark)

说明：  文件说明： a1:将二进制文件转为Matalb数据 并批量保存为mat格式 a2:mat数据批量转为图片(RGB三通道） a3:RGB图片批量转灰度图、批量改变图片大小 a4:动图制作 a5:用训练好的网络对图像语义分割(Document description: A1: Convert binary files to Matalb data and save them in batch as mat format A2: mat data batch to picture (RGB three channel) A3:RGB Picture Batch Grayscale, Batch Change Picture Size A4: Motion Mapping A5: Segmentation of image semantics using trained networks)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

形态学图像增强算法，包括对比度增强和边缘锐化(Morphological image enhancement algorithms, including contrast enhancement and edge sharpening)

指纹识别中的指纹图像预处理程序，包括有归一化，二值化，图像分割，图像增强，图像细化(Fingerprint identification fingerprint image preprocessing procedures, including normalization, binarization, image segmentation, image enhancement, image thinning)

c#取取图像，并处理和显示结果。HALCON,.(c# Take proper image, and the processing and display of results. HALCON ,.)

说明：  提取图像的hu矩 使用matlab编写 相当稳定 计算速度较快(image hu moment steadily run fast very good worth trying)

说明：  小波变换图像增强，经过matlab6.0测试，放心可用(Wavelet image enhancement, after matlab6.0 testing, confidence can be)