公开(公告)号：US20230326203A1

公开(公告)日：2023-10-12

申请号：US18012230

申请日：2022-01-14

Applicant: Jiangsu University

Inventor： Aichen WANG ,  Huadong CAO ,  Binjie GAO ,  Lin LI ,  Xinhua WEI ,  Kun TAO

IPC: G06V20/10 ,  G01N21/84 ,  G06V10/774 ,  G06T7/00 ,  G06T5/00 ,  H04N23/54 ,  H04N23/51 ,  H04N23/56 ,  G06V10/46 ,  H01S5/024 ,  G03B17/02

CPC classification number: G06V20/188 ,  G01N21/84 ,  G06V10/774 ,  G06T7/0002 ,  G06T5/001 ,  H04N23/54 ,  H04N23/51 ,  H04N23/56 ,  G06V10/46 ,  H01S5/02415 ,  G03B17/02 ,  G01N2201/0633 ,  G01N2201/0636 ,  G01N2021/8466 ,  G01N2201/06113 ,  G06T2207/20081 ,  G06T2207/30188

Abstract: The present disclosure provides a portable apparatus for detecting early crop diseases based on spatial frequency domain imaging. The apparatus includes an end cover, a spatial frequency domain imaging apparatus, a dark box body, a telescopic section, and an opening-and-closing apparatus connected in sequence. The detection method includes: putting a crop sample to be detected into the dark box body from a bottom; projecting structured light of sine grey scale patterns with different spatial frequencies to the crop sample; after the sine gray scale pattern is switched each time, acquiring, by a camera, a diffuse reflection image of a surface of the crop sample once; after capturing all diffuse reflection images, performing uniformity correction on the images, demodulating the images, and extracting an alternating current component; and inputting an alternating current component image to a trained disease detection model, and determining whether the crop sample has a disease.