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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...
This paper addresses the issue of localising object edge contours in cluttered backgrounds to support robotics tasks such as grasping and manipulation and also to improve the potential perceptual capabilities of robot vision systems. Our approach is based on coarse-to-fine matching of a new recursively constructed hierarchical, dense, edge-localised descriptor, the HexBinary, based on the HexHog descriptor...
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,...
Concentrating on recognition of circular modules fixed on non-cooperative target for Tethered Space Robot (TSR), this paper presents a fast circle detector. The pixels' gradient magnitude and direction are computed in the first step and region-growing method is implemented to generate arc support regions (ASRs). And the corresponding square fitting areas (SFAs) are obtained. Afterward, the Euclidean...
Long-term relationships between humans and robots will expand in the future. We therefore consider that an affinity to robots is one of the important components of a stable relationship. In this paper, we propose an action selection system for robots. We expect the system to select an appropriate action that matches human's individual preference. We used an emotion estimation system to achieve this...
In this paper, we propose a novel pictograph detection scheme by removing miss matching points. In our previous work, we developed a robot navigation which uses only one CCD camera equipped on the robot and estimates localize self-position by pictographs on a general environment. However, our system sometimes misjudges feature points on the background as feature points on pictographs. Threfore, our...
This paper presents a penalized Gaussian mixture probability hypothesis density tracker with multi-feature fusion to track close moving targets in video. A weight matrix that contains all updated weights between the predicted target states and the measurements is first constructed. The ambiguous weights in the constructed weight matrix is then determined according to the total weight and the predicted...
Recently, approaches utilizing spatial-temporal features have achieved great success in human action classification. However, they typically rely on bag-of-words (BoWs) model, and ignore the spatial and temporal structure information of visual words, bringing ambiguities among similar actions. In this paper, we present a novel approach called sequential BoWs for efficient human action classification...
Fast and robust traffic sign recognition is very important but difficult for the safety driving assist systems. This study addresses the fast and robust traffic sign recognition to enhance safety driving. We first adopt the typical Hough transform methods to implement coarse-grained locating of the candidate regions (shapes of rectangle, triangle and circle, etc.) of the traffic signs; and then propose...
Automatic endoscope video analysis is an essential function for medical robot and computer-aided diagnosis system. However, the performance of these video analysis algorithms are often degraded by low quality endoscope images under the uncontrolled environment, where some of them are difficult even for human ourselves for analysis, such as over-saturated by reflection, too dark or obscure. In this...
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