Pixel Mask Analyzer (PMA): Noise removal in gland detection for colon cancer image

Mohd Yamin Ahmad, Yasmin Anum Mohd Yusof, Siti Aishah Siti, Azlinah Mohamed

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

2 Citations (Scopus)

Abstract

It is well known that for any type of cancer, mortality rate can be reduced by early detection of the cancer. Detection of cancer markers from the time of taking blood from patients until microscopic examination of the biopsy tissues is not only laborious but time consuming. It is known that with the help of a computerized system, the diagnosis time can be shortened. In this paper, we proposed the method of gland edge detection and noise removal using Pixel Mask Analyzer (PMA) as image enhancement. PMA is based on kFill filter that uses 5x5 mask slide through entire 2D biopsies tissue images. Pixels within mask are analyzed on 8 sample images to remove noise. We compare the median filter and PMA and found that PMA gives better result on noise removal. After noise removal, Sobel and Canny edge detectors are applied on the images and we found that Canny provides better output for edge detection. The output of this detection is important for further analysis of colon cancer cells image detection.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
Pages652-659
Number of pages8
Volume179 CCIS
EditionPART 1
DOIs
Publication statusPublished - 2011
Event2nd International Conference on Software Engineering and Computer Systems, ICSECS 2011 - Kuantan
Duration: 27 Jun 201129 Jun 2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 1
Volume179 CCIS
ISSN (Print)18650929

Other

Other2nd International Conference on Software Engineering and Computer Systems, ICSECS 2011
CityKuantan
Period27/6/1129/6/11

Fingerprint

Masks
Pixels
Biopsy
Edge detection
Tissue
Median filters
Image enhancement
Microscopic examination
Blood
Cells
Detectors

Keywords

  • Adenocarcinoma
  • Colorectal Cancer
  • Computer Aided Diagnosis
  • Gland Detection
  • Image Processing
  • Noise Removal
  • Pattern Recognition

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Ahmad, M. Y., Mohd Yusof, Y. A., Siti, S. A., & Mohamed, A. (2011). Pixel Mask Analyzer (PMA): Noise removal in gland detection for colon cancer image. In Communications in Computer and Information Science (PART 1 ed., Vol. 179 CCIS, pp. 652-659). (Communications in Computer and Information Science; Vol. 179 CCIS, No. PART 1). https://doi.org/10.1007/978-3-642-22170-5_56

Pixel Mask Analyzer (PMA) : Noise removal in gland detection for colon cancer image. / Ahmad, Mohd Yamin; Mohd Yusof, Yasmin Anum; Siti, Siti Aishah; Mohamed, Azlinah.

Communications in Computer and Information Science. Vol. 179 CCIS PART 1. ed. 2011. p. 652-659 (Communications in Computer and Information Science; Vol. 179 CCIS, No. PART 1).

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

Ahmad, MY, Mohd Yusof, YA, Siti, SA & Mohamed, A 2011, Pixel Mask Analyzer (PMA): Noise removal in gland detection for colon cancer image. in Communications in Computer and Information Science. PART 1 edn, vol. 179 CCIS, Communications in Computer and Information Science, no. PART 1, vol. 179 CCIS, pp. 652-659, 2nd International Conference on Software Engineering and Computer Systems, ICSECS 2011, Kuantan, 27/6/11. https://doi.org/10.1007/978-3-642-22170-5_56
Ahmad MY, Mohd Yusof YA, Siti SA, Mohamed A. Pixel Mask Analyzer (PMA): Noise removal in gland detection for colon cancer image. In Communications in Computer and Information Science. PART 1 ed. Vol. 179 CCIS. 2011. p. 652-659. (Communications in Computer and Information Science; PART 1). https://doi.org/10.1007/978-3-642-22170-5_56
Ahmad, Mohd Yamin ; Mohd Yusof, Yasmin Anum ; Siti, Siti Aishah ; Mohamed, Azlinah. / Pixel Mask Analyzer (PMA) : Noise removal in gland detection for colon cancer image. Communications in Computer and Information Science. Vol. 179 CCIS PART 1. ed. 2011. pp. 652-659 (Communications in Computer and Information Science; PART 1).
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