The invention relates to a potato
image acquisition device based on RGB-D cameras and a method for identifying and locating a
bud eye. The
image acquisition device consists of three RGB-D cameras thatacquire the color maps and the depth maps of a potato sample from three different angles. The
image processing part comprises obtaining a potato target image by preprocessing the color maps and performing a
mask-based target extraction method; then training a classifier by using an
Adaboost algorithm and a Haar-like feature, identifying a
bud eye area, and obtaining the two-dimensional coordinates of the
bud eye area; calibrating the RGB-D cameras to obtain the internal parameters and the external parameters of respective RGB-D cameras, and generating
point cloud in combination with the depthmaps and the color maps acquired by the corresponding cameras; successively registering the three groups of
point cloud by using an iterative nearest
neighbor algorithm to obtain the three-dimensional model of the potato sample; then converting the obtained two-dimensional coordinates of the bud eye into coordinates in a three-dimensional space where the three-dimensional model of the potato sample is located, so as to achieve the three-dimensional positioning of the potato bud eye and lay a foundation for realizing the
automation of the potato seed dicing.