Improved Local Gray Automatic Correction Technology And Application In Vein Segmentation

The vein is divided mostly depend on gray image,the process of image acquisition very susceptible to the effects of light shadows or the too strong light.It affecting the segmentation results of leaves,so gray image gradation correction is necessary.The proposed gray correction technology research is for texture image. The new method is through regional growth and bi-linear, non-linear gray transform method to automatically locate and adjust the gray portion of the texture image to achieve the function.In the fact of image segmentation,it also proposed an auxiliary method which use one-dimensional thresholding method with texture image.The method with simple and effective function targeted extracted image information,laying the foundation for further work.In addition, the information of a single vein image extraction result will come to be lost, broken,incomplete or other phenomenons.This paper proposed a multi-image fusion technology for the extraction of leaf vein.Vein extraction results on the same leaf under different environments and integration with quasi, for more vein details to give the final extraction results.The proposed method is proved with better application results in the field of vein segmentation.Automatic gradation correction method can eliminate restrictions of area shapes on the texture image.Arbitrary shape can eliminate the gray area of the uneven image phenomenon due to illumination factors.Combined with one-dimensional and multi-thresholding technique,the method can eliminate the small block noise.With multi-image fusion technology,vein segmentation method can extract rich and comprehensive vein information.The experimental results show the described method in the veins split the feasibility and effectiveness of the texture image processing also has a certain value.