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Cell image segmentation is one of the hot topics in medical image processing. Most of the classical cell image segmentation algorithms perform the segmentation directly on the original image and result in the loss of the cell nuclei with low intensity contrast. To solve this problem, this paper presents a novel nuclei segmentation method. Based on analyzing the characteristics of the cell nuclei,...
In order to avoid the over-segmentation problem caused by original watershed transform and improve the segmentation precision of Mycobacterium Tuberculosis (MTB) images, a novel segmentation algorithm is proposed based on automatic-marker watershed transform. The automatic marker is accomplished by Gaussian weighted adaptive threshold segmentation and local minimum points search within gradient image...
In computer vision, image datasets used for classification are naturally associated with multiple labels and comprised of multiple views, because each image may contain several objects (e.g., pedestrian, bicycle, and tree) and is properly characterized by multiple visual features (e.g., color, texture, and shape). Currently, available tools ignore either the label relationship or the view complementarily...
With the recent advancement of web search ranking framework, a.k.a. learning to rank, it is questionable whether it can be still applicable to the large-scale content based image retrieval settings. Moreover, given the complex structure of image representation, it is also challenging how to design visual ranking features that not only scale up well, but also model various visual modalities and the...
Tongue diagnosis is one of the most important instruments in traditional Chinese medicine (TCM). While the tongue body segmentation acts an indispensable role in the automatic tongue diagnosis system. This study utilizes geodesic active contour model (level set function) to forward a novel segmentation approach. The tongue image is firstly divided into two parts according to the prior knowledge of...
Real-time human tracking in complex environments usually presents many challenges, such as partial/complete occlusions caused by irregular motion and similar-color distractors. Switching Linear Dynamic System(SLDS) and Meanshift(MS) are two successful approaches, although both have inherent deficiencies, like accumulated prediction and correction errors in SLDS, uncoded attentional and spatial information...
We present a self-calibrating photometric stereo method. From a set of images taken from a fixed viewpoint under different and unknown lighting conditions, our method automatically determines a radiometric response function and resolves the generalized bas-relief ambiguity for estimating accurate surface normals and albedos. We show that color and intensity profiles, which are obtained from registered...
The intrinsic image composed of reflectance and shading images plays important roles in various computer vision applications. This paper focuses on solving the problem of intrinsic image decomposition. Based on the assumption that the image derivatives can be classified into either reflectance-related or shading-related, the reflectance and shading image can be restored from the classified derivatives...
Color constancy is the ability to remove the dependency of illuminant and show the intrinsic color of objects. A novel multi-view video coding scheme integrated with color constancy algorithms is introduced in this paper. Color constancy algorithms based on gray-edge hypothesis are selected. The new scheme takes color constancy as a preprocessing to make the sequence independent of the illuminant...
The color variations among different viewpoints in multiview video sequences may deteriorate the visual quality and coding efficiency. Various color correction methods have been proposed, however, the color appearance and histogram of corrected target frames are not similar enough to the reference frames in details. Focusing on restoring more similar color, a block-based color correction algorithm...
Feature point matching method combining color information has being attracting more and more attention in vision navigation because it is one of the most important aspect, and the matching result which only using the gray or RGB color space information of image can't satisfy the requirement. The paper put forward a new method which utilized the HSV (Hue, Saturation, and Value) color space information...
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