Research on Fish Morphology Image Processing and Refinement Algorithm Based on MATLAB

Yi Lin Zhou; Wen Long Wang

doi:10.4028/www.scientific.net/AMM.568-570.672

Paper Titles

Image Super-Resolution via Low-Rank Representation
p.652

Image Super-Resolution via Saliency Sparse Representation
p.659

Night Vision Image Fusion Based on Phase Information Modulation and Image Enhancement Technique
p.663

Research of Face Recognition Methods Based on Binding Feature Extraction
p.668

Research on Fish Morphology Image Processing and Refinement Algorithm Based on MATLAB
p.672

Research on Intangible Cultural Heritage Based on Motion Capture
p.676

Research on True 3D Imaging System Structure and Voxel Construction
p.681

Rock Classification Based on Image Processing and Neural Networks
p.685

Study of Human Behavior Recognition Technology Based on DaVinci Processor
p.691

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570Research on Fish Morphology Image Processing and...

Research on Fish Morphology Image Processing and Refinement Algorithm Based on MATLAB

Abstract:

This paper includes two parts. Firstly, we introduce the pretreatment process of fish photos. This is a very important part for fining treatment,because the quality of the image taken from fishpond would be greatly affected by luminance and complex background. Finally we give a description for the thinning algorithm about the shape of fish. The pretreated fish photos could be processed by thinning algorithm to make each fish similar to string. It’s very easy to judge the dynamic behavior of fish. In the fish farms, you should continue to feed if the lines assume radial shape. You should stop feeding if the lines present us with random shape.

You might also be interested in these eBooks

Measurement Technology and its Application III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

672-675

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.672

Citation:

Cite this paper

Online since:

June 2014

Authors:

Yi Lin Zhou, Wen Long Wang

Keywords:

Digital - Image - Processing, MATLAB, Refinement Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Chen Jian-bin, Dong Xiang-jun, Song Han-tao The refinement algorithm consideration in text clustering scheme based on multilevel graph [J]. Wuhan University Journal of Natural Sciences, 2004, 9(5).

DOI: 10.1007/bf02831661

Google Scholar

[2] Xiaofeng Zhang, Fengchang Xu, Yan Su, Research on the License Plate Recognition based on MATLAB [J]. Procedia Engineering, 2011, 15(2).

DOI: 10.1016/j.proeng.2011.08.246

Google Scholar

[3] Grams A. The morphometric analysis and recognition an amyloid plaque in microscope images by computer image processing [J]. Folia Neuropathologica, 2001, 38(4).

Google Scholar

[4] Parkin A J. The influence of different processing strategies on the recognition of transformed and untransformed faces [J]. Canadian journal of psychology, 1983, 37(2).

DOI: 10.1037/h0080721

Google Scholar

[5] Fu Qian-Jie. Effects of speech processing strategy on Chinese tone recognition by nucleus-24 cochlear implant users [J]. Ear and Hearing, 2004, 25(5).

DOI: 10.1097/01.aud.0000145125.50433.19

Google Scholar

[6] Nabaa N. Derivation and analytic evaluation of an equivalence relation clustering algorithm [J]. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 2008, 29(6).

DOI: 10.1109/3477.809044

Google Scholar