NDLI: Research on an automatic counting system of soft fibrils collection

Content Provider	IEEE Xplore Digital Library
Author	Xing Xiaoxue Liu Fu Shang Weiwei
Copyright Year	2012
Description	Author affiliation: Coll. of Commun. Eng., Jilin Univ., Changchun, China (Xing Xiaoxue; Liu Fu; Shang Weiwei)
Abstract	An automatic counting system on soft fibrils collection was designed. The collection slice was manufactured by a self-designed slicer, imaged by a microscope optical system, and captured by CCD (Charge coupled device). After that the slice image was transferred into a computer by the image acquisition card. In the system the hemispherical LED source which had separate switches was used. The intensity of the LED source could be adjusted independently. The quantities of the collection could be got by the image processing algorithm proposed in the paper. The binary image could be obtained based on maximum region entropy, SOFM (Self organization feature map) neural network and image optimal threshold segmentation. Based on the statistics the boundary of the binary image was separated further. The number of the collection was calculated through the counting algorithm. The experimental results show that the system detection error is no more than 1%; the system has the much higher repeatability and precision.
Sponsorship	IEEE Harbin. Sect.
Starting Page	527
Ending Page	530
File Size	559546
Page Count	4
File Format	PDF
ISBN	9781467329637
e-ISBN	9781467329644
DOI	10.1109/ICCSNT.2012.6525992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	SOFM Automatic Counting System Maximum Region Entropy Soft Fibrils Collection
Content Type	Text
Resource Type	Article

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