Texture features selection for masses detection in digital mammogram

Azlindawaty Mohd Khuzi, R. Besar, Wan Mimi Diyana Wan Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

Detection of masses in digital mammograms may helps in an early diagnosis of breast cancer. In this paper, we proposed method to detect high probability of mass areas based on texture feature analysis. Firstly, an automated segmentation of region of interests (ROIs) is done using 8-bit quantization technique. Then, Gray Level Co occurrence Matrices (GLCM) at four directions is constructed for each ROIs. This is due to the fact that the Gray Level Co occurrence Matrices (GLCM) may provide the texture-context information. The results prove that the Gray Level Co occurrence Matrices(GLCM) at 0°, 45°, 90° and 135° with a block size of 8×8 give significant texture information to identify between masses and non-masses tissues.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages629-632
Number of pages4
Volume21 IFMBE
Edition1
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008 - Kuala Lumpur
Duration: 25 Jun 200828 Jun 2008

Other

Other4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008
CityKuala Lumpur
Period25/6/0828/6/08

Fingerprint

Feature extraction
Textures
Tissue
Direction compound

Keywords

  • Digital Mammogram
  • GLCM
  • Masses
  • Texture analysis

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Khuzi, A. M., Besar, R., & Wan Zaki, W. M. D. (2008). Texture features selection for masses detection in digital mammogram. In IFMBE Proceedings (1 ed., Vol. 21 IFMBE, pp. 629-632) https://doi.org/10.1007/978-3-540-69139-6-157

Texture features selection for masses detection in digital mammogram. / Khuzi, Azlindawaty Mohd; Besar, R.; Wan Zaki, Wan Mimi Diyana.

IFMBE Proceedings. Vol. 21 IFMBE 1. ed. 2008. p. 629-632.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Khuzi, AM, Besar, R & Wan Zaki, WMD 2008, Texture features selection for masses detection in digital mammogram. in IFMBE Proceedings. 1 edn, vol. 21 IFMBE, pp. 629-632, 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008, Kuala Lumpur, 25/6/08. https://doi.org/10.1007/978-3-540-69139-6-157
Khuzi, Azlindawaty Mohd ; Besar, R. ; Wan Zaki, Wan Mimi Diyana. / Texture features selection for masses detection in digital mammogram. IFMBE Proceedings. Vol. 21 IFMBE 1. ed. 2008. pp. 629-632
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