Automatic image segmentation of immunohistologically stained breast tissue sections helps
pathologists to discover the cancer disease earlier. The detection of the real number of …

Automatic image analysis of histopathology specimens would help the early detection of
blood cancer. The first step for automatic image analysis is segmentation. However …

Due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital
images, it is usually impossible to extract complete object contours or to segment the whole …

This paper introduces a new edge-grou** method to detect perceptually salient structures
in noisy images. Specifically, we define a new grou** cost function in a ratio form, where …

Many natural and man-made structures have a boundary that shows a certain level of
bilateral symmetry, a property that plays an important role in both human and computer …

Manual assessment of estrogen receptors′(ER) status from breast tissue microscopy
images is a subjective, time consuming and error prone process. Automatic image analysis …

As an important geometric property of many structures or structural components, convexity
plays an important role in computer vision and image understanding. In this paper, we …

When the foreground objects have variegated appearance and/or manifest articulated
motion, not to mention the momentary occlusions by other unintended objects, a …

Many natural and man-made structures have a boundary that shows certain level of bilateral
symmetry, a property that has been used to solve many computer-vision tasks. In this paper …

This paper presents a new method for object detection by edge grou**. This method can
detect the boundaries of objects under complex background where the object contours are …