搜索资源列表
LPR
- 车牌识别程序,使用sobel算子检测边缘,然后准确定位车牌,准确率高达98%以上。-license plate identification procedures, the use of pixel edge detection operator, and then accurate positioning plates, accuracy rate was as high as 98% or more.
小波变换源码
- 带有多种小波基的小波变换程序,可用于图象识别,信号突变检测。-with multiple small Porgy wavelet transform procedures can be used to image recognition, signal mutation detection.
iris2
- 提出了一种新的基于小波过零检测的虹膜 识别算法,通过对分离的虹膜纹理采用小波变换来实现特征提取,最后通过Hamming距离完成模式匹配.
Target-Detection
- 通过分析天空背景下红外运动小目标、噪音以及背景的特征,提出一种检测方法。首先利用向量小波变换对运动图像进行预处理;其次采用图像差分进行目标的粗检测,提取出候选目标;最后可根据运动目标和噪音的特征对候选目标进行识别,检测出真实的运动小目标。实验证明,该方法可有效检测天空背景下红外运动小目标。-According to small moving infrared target detection in the sky background,a detection algorithm is pre
dtw
- 本为主要阐述了小波变换在语音信号去噪的应用,语音端点的检测,语音特征的提取及一种简单的语音识别算法。-This is mainly expounds the wavelet transform in the application of speech signal denoising, speech endpoint detection, speech characteristics of the extraction and a simple speech recognition algori
Power-quality-
- 对基于小波变换的电能质量扰动检测和识别方法进行研究,在总结前人经验的基础上提出自己对算法的改进,并且利用MATLAB软件对改进算法进行仿真分析,取得令人满意的效果,验证所用方法的可行性。-Power quality disturbances detection and identification method based on wavelet transform and make their own improvements on the algorithm on the basis of p
Research-on-the-Wavelet
- 用于信号去噪中有小波变换实现信号的极大值检测及边缘识别-Wavelet transform for signal denoising realize the great value of the signal detection and edge detection
Image-segmentation
- 图像分割与边缘检测是为了识别图像的目标,将它们从图像中分离出来.-Image segmentation and edge detection is to identify images of targets, they are separated from the image.