Image Edge Detection Based On Wavelet Transform

With further requirement of the modern war, precision guided weapon has been widely used. Imaging-based guided technology is the important development direction of precision guided technology. The fundamental image processing technology of target extract and recognition is image edge detection technology.By means of Mallat' s multiscale analysis, we construct two type of arbitrary order cardinal B-spline wavelet. In order to avoid the loss of weak edge, take adaptive filter to sharp image edge. This is the improved image edge detection based on wavelet transform.The important work of this paper:1. Deeply study image detection technology and wavelet analysis theory.2. Based on studying Canny operator and LoG operator, we take wavelet edge detection in allusion to smoothing image extremely and losing weak edge existed in Gaussian filter.3. According to the criterion of edge detection and consulting the design-aim of optimal edge-filter, this paper discussed the general rules of selecting the mother function of wavelet used in edge detection, construct two type B-spline wavelet function. Though avoiding noise disturbance, this method will lose some weak edge. So we take adaptive filter to sharp image edge in order to avoid losing image weak edge.4. Adaptive thresholds edge detection for image based on wavelet transform was presented to avoid losing weak edge.