Research And Implementation Of The Steppe Plant Micro-image Stitching Based On PC And Android

Image stitching technology is one of the research hotspots in current image processing field.The image stitching technology is mainly for certain stitching between every two images among several graphs under different visual aspects and same timing to realize seamless and high resolution panoramic picture.Currently,the image stitching tools in markets are all presented with web system style.There are two disadvantages including: one is that this technology can only be used under perfect network situation;the second is that it is cannot be utilized in mobile terminal well due to the less compatibility for web system.Therefore,the image stitching system is developed for PC client under Windows system and Android client under Android platform based on image stitching related theory of this article.The advantage of image stitching system described in this article is to reduce the requirement of graph resolution ratio and format form and achieve the simplicity and efficiency of image stitching directly.The main contents of this article are as follows:(1)The technical support required for system running has been introduced briefly and some core technology concepts have been illustrated first and then explained how to utilize the image process technology and data exchange between MATLAB and C language.Finally the Android system structure and MFC framework used in this system have been introduced.(2)System realization on PC end include several steps as: image preprocessing,picture superimposition(SIFT algorithm),Image Fusion(gradually coming-out principle).Image mosaicking for prairie plant map under micro-focus shot of PC has been achieved.During this process and for better image stitching effect,comparison with current algorithm in market has been carried out in order to choose algorithm with higher fitness,stronger stability and more efficiency.Finally,it is found that the algorithms including convolutional neutral network under multiscale block and SIFT feature point detection can achieve better image stitching effect.(3)The process of realizing the Android side of the system:According to the module design of the steppe plant image stitching system under the micro focal length achieved under the windows system,the data of PC is directly encapsulated on the mobile phone without affecting the effect of the final realization.Finally,the final image stitching technology based on the Android end is realized.