Alexander Schepelmann,Kathryn A. Daltorio,Amaury D. Rolin,Jonathan Beno,Bradley E. Hughes,James M. Green,Michael S. Branicky,Roger D. Quinn,Henry H. Snow,Francis L. Merat,Richard E. Hudson
申请号：
US15162281
公开号：
US10157334B2
申请日:
2016.05.23
申请国别(地区):
US
年份:
2018
代理人:
摘要：
Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.
