Research On Mosaic Algorithm Based On Crop Image Sequence

In order to obtain a large scene that meets certain resolution,often need to mosaic the sequence images about the scene,image mosaic algorithm is the key technology to achieve this.This algorithm is very practical,widely applied in remote sensing,medical and other fields,especially in the field of agricultural application has broad application prospects,and has important significance for crop monitoring and assessment.This paper mainly study the algorithm of crop sequence image mosaic.Firstly,this paper introduces the research background and current research status of image mosaic algorithm,and compares the characteristics of various algorithms,and introduces some key technologies involved in the process of stitching.Then take the image mosaic algorithm based on feature matching as the research direction,focus on the analysis of the principle and characteristics of SIFT and SURF feature extraction,and on this basis combined with the perceptual hash which used to detect overlap region,designed an overlap region search algorithm.First detect the overlap region and determine mosaic area,then extract feature point descriptors and realize the registration in this area.Experimental results show that the algorithm can significantly improve the matching speed and efficiency,extract stable and accurate feature points,reduce the false match,compared with the existing algorithm has better real-time performance.In image fusion,on the basis of analysis of the problems may appear between registration images,such as obvious seam,ghosting,unbalanced brightness,put forward solutions to deal with them.The solutions include fusion algorithm based on gradual change coefficient and optimal stitching algorithm based on dynamic programming.For the problem of brightness difference in the sequence images,the pixel distribution model is established to balance the brightness of the images.Experimental results show that the proposed algorithm can significantly improve the visual effect of the fused image,and get the ideal output image.