The application of local grey level histograms to organelle classification in histological images

D. Gibson; P. A. Gaydecki

doi:10.1016/0010-4825(96)00013-3

The application of local grey level histograms to organelle classification in histological images

D. Gibson, P. A. Gaydecki

The University of Manchester

Research output: Contribution to journal › Article › peer-review

Abstract

The performance of a histogram matching algorithm was evaluated for the classification of organelles in histological images. The test set used for this investigation comprised several digital images of sheep pituitary gland captured using a CCD camera linked to a Tunnelling Electron Microscope. Results show that the normalized image histogram is a good feature to choose as the basis of object recognition in biological images.

Original language	English
Pages (from-to)	329-337
Number of pages	9
Journal	Computers in Biology and Medicine
Volume	26
Issue number	4
DOIs	https://doi.org/10.1016/0010-4825(96)00013-3
Publication status	Published - Jul 1996

Keywords

Computer vision in biology
Image histogram

Access to Document

10.1016/0010-4825(96)00013-3

Cite this

@article{24501251934b4184b348dfb82a908b3a,

title = "The application of local grey level histograms to organelle classification in histological images",

abstract = "The performance of a histogram matching algorithm was evaluated for the classification of organelles in histological images. The test set used for this investigation comprised several digital images of sheep pituitary gland captured using a CCD camera linked to a Tunnelling Electron Microscope. Results show that the normalized image histogram is a good feature to choose as the basis of object recognition in biological images.",

keywords = "Computer vision in biology, Image histogram",

author = "D. Gibson and Gaydecki, {P. A.}",

year = "1996",

month = jul,

doi = "10.1016/0010-4825(96)00013-3",

language = "English",

volume = "26",

pages = "329--337",

journal = "Computers in Biology and Medicine",

issn = "0010-4825",

publisher = "Elsevier BV",

number = "4",

}

TY - JOUR

T1 - The application of local grey level histograms to organelle classification in histological images

AU - Gibson, D.

AU - Gaydecki, P. A.

PY - 1996/7

Y1 - 1996/7

N2 - The performance of a histogram matching algorithm was evaluated for the classification of organelles in histological images. The test set used for this investigation comprised several digital images of sheep pituitary gland captured using a CCD camera linked to a Tunnelling Electron Microscope. Results show that the normalized image histogram is a good feature to choose as the basis of object recognition in biological images.

AB - The performance of a histogram matching algorithm was evaluated for the classification of organelles in histological images. The test set used for this investigation comprised several digital images of sheep pituitary gland captured using a CCD camera linked to a Tunnelling Electron Microscope. Results show that the normalized image histogram is a good feature to choose as the basis of object recognition in biological images.

KW - Computer vision in biology

KW - Image histogram

UR - http://www.scopus.com/inward/record.url?scp=0029954218&partnerID=8YFLogxK

U2 - 10.1016/0010-4825(96)00013-3

DO - 10.1016/0010-4825(96)00013-3

M3 - Article

C2 - 8814392

AN - SCOPUS:0029954218

VL - 26

SP - 329

EP - 337

JO - Computers in Biology and Medicine

JF - Computers in Biology and Medicine

SN - 0010-4825

IS - 4

ER -

The application of local grey level histograms to organelle classification in histological images

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this