Straw Coverage Detection Method Based on Sauvola and Otsu Segmentation Algorithm

The low accuracy image detection in natural light，the hollow of coarse straw，and the loss of finely straw details，all these problems may cause low accuracy straw coverage detection.A straw coverage detection method，which based on Sauvola and Otsu segmentation algorithm，was proposed.Firstly，Sauvola image threshold segmentation was used to extract detail area of grayscale image which based on color component space distance，then Otsu threshold segmentation was used to solve problem of straw hollow area which based on color difference.Finally，different threshold segmentation image was added，and straw coveragewas calculated.Field experiments results showed that better segmentation results and more accurate results of straw coverage had been achieved by proposed method.The maximum average error of different conditions of straw coverage was about 1.9%.The maximum average error of straw coverage in different regions was about 2.5%.Proposed method could effectively improve precision of straw identification.