Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier
Features analysis is an important task which can significantly affect the performance of automatic bacteria colony picking. Unstructured environments also affect the automatic colony screening. This paper presents a novel approach for adaptive colony segmentation in unstructured environments by trea...
Saved in:
| Main Authors: | Kun Zhang, Minrui Fei, Xin Li, Huiyu Zhou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/928395 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
There Search of LS-SVM Based on LMD Morphology Filter
by: MENG Liang, et al.
Published: (2022-02-01) -
Identification of a Surface Marine Vessel Using LS-SVM
by: David Moreno-Salinas, et al.
Published: (2013-01-01) -
Through-Wall Detection with LS-SVM under Unknown Wall Characteristics
by: Fangfang Wang, et al.
Published: (2016-01-01) -
Research on detection and location method of safflower filament picking points during the blooming period in unstructured environments
by: Bangbang Chen, et al.
Published: (2025-03-01) -
Multi-class fault diagnosis of BF based on global optimization LS-SVM
by: ZHANG Hai-gang, et al.
Published: (2017-01-01)