Image processing methods (segmentation) are presented in connection with a modeling of
image structure. An image is represented as a set of primitives, characterized by their type …

Image analysis techniques developed for cytology automation are shown to be applicable or
adaptable to the analysis of fixed tissue sections in some relatively simple cases. More …

In this article we have presented an attempt to segmentation of cell structures images
acquired while histological slides microscopic observation. The described algorithm of …

The use of computers for the automated image analysis of tissue sections is becoming
increasingly important. The paper presents an overview of current methodologies and …

An image segmentation process was derived from an image model that assumed that cell
images represent objects having characteristic relationships, limited shape properties and …

Abstract Evaluation is an important step in developing a segmentation algorithm for an
image analysis system. We first give a review of segmentation evaluation methods, and then …

This paper presents a segmentation method for detecting cells in immunohistochemically
stained cytological images. A two-phase approach to segmentation is used where an …

Different methods for the automated segmentation of microscopic cell scenes are presented
with examples. The techniques discussed include edge detection by thresholding," blob" …

Scene segmentation in images of sections of colorectal glands is guided by a knowledge-
based system. The construction of the knowledge file, processing sequences and …

The purpose of this paper is to describe a framework for evaluating image segmentation
algorithms. Image segmentation consists of object recognition and delineation. For …