摘要
采用TMS320DM642 EVM作为数字图像处理硬件平台,利用CCS开发环境来构建程序并对其进行优化;通过对改进后的Log算子和小波多尺度方法提取到的边缘图像进行数据融合,得到一幅新的边缘图像。实验结果表明,该方法提高了边缘检测的运算速度,满足了实时性要求;并能有效地抑制噪声的影响,保留了图像边缘细节。
This paper introduces a digital image processing system based on DM642 EVM. The application and function optimization by analysis＂ tool CCS software has been debugged. The improvement of image edge-detection of log operator and multi- criteria wavelet has been realized. Then it will produce a new image by fusing the two. Numerical experi- ments show that the proposed approach improves the speed of the detection greatly and satisfied for probability of realtime occasions. It can also effectively stop the influence of noise from image edge-detection and retain edge-detail of image.
出处
《计算机与数字工程》
2009年第6期125-128,共4页
Computer & Digital Engineering
