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作 者:孙颖馨 SUN Yingxin(College of Optical and Electronical Information,Changchun University of Science and Technology,Changchun 130000,China)
机构地区:[1]长春理工大学光电信息学院
出 处:《现代电子技术》2019年第24期88-91,共4页Modern Electronics Technique
基 金:国家自然科学基金:基于融合算法的新型FBG传感系统理论模型与实验研究(61703056)~~
摘 要:传统图像拼接技术往往由计算机完成图像数据的处理,但计算机系统存在尺寸大、成本高、便携性差的缺点,为此,设计一种基于图像增强算法的嵌入式系统。该系统由FPGA完成图像采集与增强处理,然后将优化后的两组图像传输给DSP,最终完成两组图像的拼接。设计图像增强算法,对拼接区域不同灰度条件下进行了分类处理,从而实现了对图像特征点的增强;设计基于特征点向量距离比较的匹配算法,从而优化了图像拼接效果。对比该系统的测试结果与传统算法的拼接效果可知,在灰度变化较小的图像区域中,两种方法的拼接结果基本一致;而在灰度变化较大的图像区域中,传统方法的平均处理造成了特征点区域弥散,从而产生一定的失真,相比之下,该系统在1,2,3特征区域拼接效果明显优于传统方法。As for the traditional image mosaic technology,the data processing of image is often completed by computer.However,the computer system has the disadvantages of large size,high cost and poor portability,so an embedded system based on image enhancement algorithm is designed. In this system,the image acquisition and enhancement processing are completed by the FPGA,and then the two sets of optimized images are transmitted to the DSP to complete the mosaic between the two sets of images. The image enhancement algorithm is designed to realize enhancement of image feature points by classifying the mosaic regions under the different gray scale conditions. The matching algorithm based on feature point vector distance comparison is designed to optimize the image mosaic effect. The testing results of this system and the mosaic effect of the traditional algorithm are compared,from which it can be seen that,in the image region with fewer gray scale variation,the mosaic results of the two methods are basically the same;in the image region with larger gray scale variation,the average processing of traditional methods causes the dispersion of the feature point region,resulting in certain distortion. The above conclusions indicate the mosaic effect of the system is obviously better than that of the traditional method in the 1,2,and 3 feature areas.
关 键 词:嵌入式系统 图像采集 数据处理 图像拼接 图像增强处理 对比分析
分 类 号:TN214-34[电子电信—物理电子学]
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