Analysis of malignancy in pap smear images using gray level co-occurrence matrix and gradient magnitude

P. B. Shanthi, K. S. Hareesha

Research output: Contribution to journalArticle

Abstract

Hyperchromasia is one of the most common dysplastic change occur in cervical cell images particularly in the nucleus region. The texture of an image is a function of spatial variations of the gray level values and it is used to measure the variations of the pixel intensity of the surface in an image. Gray level co-occurrence matrix (GLCM) is widely used for texture analysis and it shows how repeatedly the different combinations of gray level values occur in an image. Textural changes in the region of interest can be identified by relating the co-occurring pairs of pixels spatially in various orientations and distance. Gradient magnitude and histogram equalization methods are used to enhance the details of the image. Biological variations in the textural region of the nucleus are analyzed and statistical significance at each point on the image is calculated. Various properties like energy, entropy, contrast, homogeneity, correlation and autocorrelation are computed for the classification of Pap smear cell images.

Original languageEnglish
Pages (from-to)1846-1852
Number of pages7
JournalAdvanced Science Letters
Volume23
Issue number3
DOIs
Publication statusPublished - 01-03-2017

Fingerprint

Gray Level Co-occurrence Matrix
Papanicolaou Test
Textures
Pixels
Gradient
matrix
Entropy
Autocorrelation
Neoplasms
Nucleus
pixel
Pixel
texture
Histogram Equalization
Texture Analysis
Cell
Statistical Significance
statistical significance
histogram
Region of Interest

All Science Journal Classification (ASJC) codes

  • Health(social science)
  • Computer Science(all)
  • Education
  • Mathematics(all)
  • Environmental Science(all)
  • Engineering(all)
  • Energy(all)

Cite this

@article{8f0ab002f26c431dafe85e51304d434d,
title = "Analysis of malignancy in pap smear images using gray level co-occurrence matrix and gradient magnitude",
abstract = "Hyperchromasia is one of the most common dysplastic change occur in cervical cell images particularly in the nucleus region. The texture of an image is a function of spatial variations of the gray level values and it is used to measure the variations of the pixel intensity of the surface in an image. Gray level co-occurrence matrix (GLCM) is widely used for texture analysis and it shows how repeatedly the different combinations of gray level values occur in an image. Textural changes in the region of interest can be identified by relating the co-occurring pairs of pixels spatially in various orientations and distance. Gradient magnitude and histogram equalization methods are used to enhance the details of the image. Biological variations in the textural region of the nucleus are analyzed and statistical significance at each point on the image is calculated. Various properties like energy, entropy, contrast, homogeneity, correlation and autocorrelation are computed for the classification of Pap smear cell images.",
author = "Shanthi, {P. B.} and Hareesha, {K. S.}",
year = "2017",
month = "3",
day = "1",
doi = "10.1166/asl.2017.8487",
language = "English",
volume = "23",
pages = "1846--1852",
journal = "Advanced Science Letters",
issn = "1936-6612",
publisher = "American Scientific Publishers",
number = "3",

}

Analysis of malignancy in pap smear images using gray level co-occurrence matrix and gradient magnitude. / Shanthi, P. B.; Hareesha, K. S.

In: Advanced Science Letters, Vol. 23, No. 3, 01.03.2017, p. 1846-1852.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Analysis of malignancy in pap smear images using gray level co-occurrence matrix and gradient magnitude

AU - Shanthi, P. B.

AU - Hareesha, K. S.

PY - 2017/3/1

Y1 - 2017/3/1

N2 - Hyperchromasia is one of the most common dysplastic change occur in cervical cell images particularly in the nucleus region. The texture of an image is a function of spatial variations of the gray level values and it is used to measure the variations of the pixel intensity of the surface in an image. Gray level co-occurrence matrix (GLCM) is widely used for texture analysis and it shows how repeatedly the different combinations of gray level values occur in an image. Textural changes in the region of interest can be identified by relating the co-occurring pairs of pixels spatially in various orientations and distance. Gradient magnitude and histogram equalization methods are used to enhance the details of the image. Biological variations in the textural region of the nucleus are analyzed and statistical significance at each point on the image is calculated. Various properties like energy, entropy, contrast, homogeneity, correlation and autocorrelation are computed for the classification of Pap smear cell images.

AB - Hyperchromasia is one of the most common dysplastic change occur in cervical cell images particularly in the nucleus region. The texture of an image is a function of spatial variations of the gray level values and it is used to measure the variations of the pixel intensity of the surface in an image. Gray level co-occurrence matrix (GLCM) is widely used for texture analysis and it shows how repeatedly the different combinations of gray level values occur in an image. Textural changes in the region of interest can be identified by relating the co-occurring pairs of pixels spatially in various orientations and distance. Gradient magnitude and histogram equalization methods are used to enhance the details of the image. Biological variations in the textural region of the nucleus are analyzed and statistical significance at each point on the image is calculated. Various properties like energy, entropy, contrast, homogeneity, correlation and autocorrelation are computed for the classification of Pap smear cell images.

UR - http://www.scopus.com/inward/record.url?scp=85017703004&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85017703004&partnerID=8YFLogxK

U2 - 10.1166/asl.2017.8487

DO - 10.1166/asl.2017.8487

M3 - Article

VL - 23

SP - 1846

EP - 1852

JO - Advanced Science Letters

JF - Advanced Science Letters

SN - 1936-6612

IS - 3

ER -