Modified piecewise linear mapping contrast enhancement and local otsu segmentation methods for hep-2 cell images
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Date
2019-03-01
Authors
Mohamad Shahrul Affendi Baharom
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Abstract
Indirect Immunofluorescence (IIF) image analysis for classification of Human
Epithelial (HEp-2) immunofluorescence patterns is an effective way to identify the
presence of Anti- Nuclear Antibody (ANA). Most existing works focussed on HEp-2
cell classification and very few efforts have been dedicated to study the importance of
the pre-processing and segmentation techniques. This study analyses the importance
of both methods, which could possibly improve the HEP-2 classification process. The
pre-processing is capable to provide a better quality cell features in an image through
contrast enhancement process, while segmentation which segregates important
features could improve the classification performances. This dissertation presents a
Modified Piecewise Linear Mapping and Local Otsu Segmentation as a pre-processing
and segmentation approach for the HEp-2 images. Proposed pre-processing focus on
minimizing the existence of noise in the background and stretching the cell’s contrast
by using piecewise linear mapping function technique. Then the process continues
with segmentation process, which introduce a new local Otsu segmentation. This
method is a combination of Otsu algorithm and morphological operation (including
morphological watershed). This stage perform a segregation process to isolate an
important information and distinguish an unwanted information about HEp-2 cell in
the image. According to the qualitative and quantitative analysis, proposed preprocessing
method is able to enhance the contrast and at the same time minimize the
existences of the noise. However, some of the image suffers from texture’s cell loss.
On the other hand, the proposed segmentation method capable to segment cell and
isolate most of the combined cell. But, some structure of unnecessary cell accidently
be removed such as small cell or damaged cell. As a conclusion, although there are
some losses in cell information, both methods were successful in enhancing the quality
of the HEp-2 image and highlighting important cell information.