Cell segmentation from microscopic images is the first stage of the automatic biomedical image processing, which plays a crucial role in the study of cell behaviour which is a very difficult and tedious task because of the variation that exist in illumination and dye concentration of the cells due to the staining procedure. This paper proposes a new method for segmentation of cervical cell nucl...

In this paper we compare two segmentation techniques, a parameter-free variant of the watershed algorithm and a new robust method based on adaptive contours. To test them, we use a set of fluorescence in-situ hybridisation images of leucocyte nuclei: these images were obtained in realistic conditions of mass screening, and do not meet the prerequisites of usual segmentation methods. We present ...

We present a unified segmentation framework for detecting both membrane and nuclei structures in microscopy images of immunofluorescently labeled histological tissue sections. The non-parametric method presented can handle arbitrary mixtures of bloband ridge-like structures, which is commonly found in tissue images. The algorithm iteratively estimates the empirical likelihood functions of curva...

This paper addresses issues of analysis of DAPI-stained microscopy images of cell samples, particularly classification of objects as single nuclei, nuclei clusters or nonnuclear material. First, segmentation is significantly improved compared to Otsu’s method [5] by choosing a more appropriate threshold, using a cost-function that explicitly relates to the quality of resulting boundary, rather ...

This paper is devoted to the segmentation of cell nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. The segmentation allows to identify and quantify the number of cells in the animal model. This kind of information is relevant to estimate important biological parameters such as the cell proliferation rate in time and space. Our approach is based ...

This paper presents a new segmentation method of complex nucleus configurations. The specificity of this work is to introduce prior information about the usual shape of cells nuclei, in order to optimize the selection of markers from which the flooding will start, during the watershed-based segmentation.

The objective analysis of cytological and histological images has been the subject of research for many years now. One of the most diicult elds in histological image analysis is the automated segmentation of tissue-section images. We propose a multistage segmenta-tion method for the isolation of cell nuclei in such images. In the rst stage the Compact Hough Transform (CHT) is used to determine ...

BACKGROUND The extraction of overlapping cell nuclei is a critical issue in automated diagnosis systems. Due to the similarities between overlapping and malignant nuclei, misclassification of the overlapped regions can affect the automated systems' final decision. In this paper, we present a method for detecting overlapping cell nuclei in Pap smear samples. METHOD Judgement about the presence...

In this paper, we propose a fast hierarchical framework of leukocyte localization and segmentation in rapidly-stained leukocyte images (RSLI) with complex backgrounds and varying illumination. The proposed framework contains two main steps. First, a nucleus saliency model based on average absolute difference is built, which locates each leukocyte precisely while effectively removes dyeing impur...

In this paper we present two new methods of segmentation that we developed for nuclei and chromosomic probes – core objects for cytometry medical imaging. Our nucleic segmentation method is mathematically grounded on a novel parametric model of an image histogram, which accounts at the same time for the background noise, the nucleic textures and the nuclei’s alterations to the background. We ad...