|
| Apple leaf disease recognition based on feature fusion and local discriminant projection |
| |
| DOI：10.16768/j.issn.1004-874X.2016.10.024 |
|
| Hits: 2159 |
| Download times: 981 |
| Abstract: |
| As for the complexity of plant disease recognition by the disease leaf image，a plant disease
recognition method was proposed based on feature fusion and local discriminant projection. First，based on the center
symmetric local binary pattern（CS-LBP），an adaptive CS-LBP algorithm was proposed. The spot images were
segmented by ACS-LBP. The texture，shape and color features were extracted from each spot image and fused，and
then were reduced based on local discriminant projection（LDP）. Finally，the diseases were recognized by support
vector machine（SVM）. The experiment results on a database of apple disease leaf images showed that the proposed
method was effective for apple leaf disease recognition. The average recognition rate was more than 95%. |
|
View Full Text
View/Add Comment Download reader |
