data_fusion_tools

这是一个利用matlab开发的程序，功能是用susan算法提取图像角点的。一个压缩包，程序可用哟。(This is a program developed using matlab, the functional algorithm is susan corner of image. A compact package, the procedure can be used yo.)

本人自己编写的一个图像预测编码（DPCM）的简单程序。(I own an image prepared by the Predictive Coding (DPCM) the simple procedure.)

提取指纹图象的 方向场还有ROI。喜欢就下。还可以。(Extraction of fingerprint orientation field there is image ROI. Like on the next. Can also be.)

用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图 (Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Make the rms signal of the three maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform)

基于统计算法的红外图像非均匀性矫正算法，场景类算法，实现实时校正(IRFPA NUC)

PMF FFT捕获技术性能仿真，分段匹配滤波法和改进算法相比较(FFT PMF capture technology performance simulation, segmented matching filter and improved algorithm comparison)

一个高效的matlab彩色图像分割软件，(An efficient color image segmentation matlab software)

本程序实现医学图像的增强，实验显示，处理后的医学图像轮廓清晰，可识性较好。(This procedure to achieve medical image enhancement, experiments showed that the treated medical image outline a clear, identifiable better.)

自己编写的函数，自动寻找乳腺肿块区域的种子点，为种子区域生长做准备，算法比较复杂(breast boundary.seed region growth)

说明：  通过生成秘钥得到一串具有一定长度的扩频码，将原始消息序列以扩频码的长度过采样产生过采样消息序列，并将扩频码以原始消息序列的长度多次重复成伪随机序列，再令过采样消息序列与伪随机序列异或就可以生成扩频消息序列。在频率域下，将扩频消息序列以一定的嵌入强度自适应地嵌入原始图像，得到的图像具有较强的鲁棒性，比起直接嵌入，扩频水印在受到攻击后恢复出的水印信息误码率要低得多。并且扩频码长度越长，容错率就越高，鲁棒性就越好。(A sequence of spread spectrum codes with a certain length is obtained by generating a secret key. The oversampling message sequence is generated by oversampling the original message sequence with the length of the spread spectrum code, and the spread spectrum code is repeated into a pseudo-random sequence with the length of the original message sequence for many times, and then the spread spectrum message sequence can be generated by making the difference between the oversampling message sequence and the pseudo-random sequence. In the frequency domain, the spread spectrum message sequence is adaptively embedded into the original image with a certain embedding strength, and the resulting image has strong robustness. Compared with direct embedding, the error rate of the watermark information recovered from the attack of spread spectrum watermark is much lower. And the longer the spreading code length, the higher the fault tolerance rate and the better the robustness.)