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This paper presents a new method of segmenting and classifying protein crystallization trial images that were collected using trace fluorescent labeling. Trace fluorescent labeling typically involves fluorescence dye that can re-emit the illumination light at other wavelengths around the principal wavelength. The captured image has a primary color channel with respect to illumination light and fluorescence...
A temporal superpixel algorithm based on proximity-weighted patch matching (TS-PPM) is proposed in this work. We develop the proximity-weighted patch matching (PPM), which estimates the motion vector of a superpixel robustly, by considering the patch matching distances of neighboring superpixels as well as the target superpixel. In each frame, we initialize superpixels by transferring the superpixel...
In order to reduce the effects caused by complex environments and ambient light conditions, a fast, robust and effective obstacles detection method of vehicles based on image analysis of multi-feature is proposed. Firstly, regions of interest (ROI) which contain lanes, vehicles and few parts of interference background are extracted in the input image by detecting gradient feature in rows. Secondly,...
Currently, the only mass-market service robots are floor cleaners and lawn mowers. Although available for more than 20 years, they mostly lack intelligent functions from modern robot research. In particular, the obstacle detection and avoidance is typically a simple physical collision detection. In this work, we discuss a prototype autonomous lawn mower with camera-based non-contact obstacle avoidance...
In this paper, we present a novel framework to incorporate high-level guidance and low-level features to automatically identify salient objects based on two ideas. The first one considers the specific location prior to encode visual saliency, while the second one estimates image saliency using contrast with respect to background regions. The proposed framework consists of the following three steps:...
A video segmentation method based on strong target constrained video saliency (STCVS) is proposed in this paper. In order to detect the salient region fast and effectively, the proposed STCVS is extracted based on the extension of image saliency by enforcing the salient region constrained with the location, scale and color model of the target. Besides, according to the results of STCVS, the super-pixel...
Current approaches for text line segmentation often are either very specialized to specific domains or they depend on many parameters. More specifically, the extraction of text-lines with large sizes, i.e., headings and titles in the Arabic like script could not be segmented correctly by state-of-the-art methods. In this work, we present a simple and robust text-line segmentation approach. The proposed...
CAPTCHAs are applied on websites to differentiate between human users and automated programs, which indulge in spamming and other fraudulent activities. Since there are many websites that provide services in Arabic language, Arabic CAPTCHAs have been proposed by a number of studies. These CAPTCHAs rely on the distortion of text images rendering them unrecognizable to essentially pattern recognition...
Traffic Sign Recognition (TSR) system is a significant component of Intelligent Transport System (ITS) as traffic signs assist the drivers to drive more safely and efficiently. This paper represents a new approach for TSR system using hybrid features formed by two robust features descriptors, named Histogram Oriented Gradient(HOG) features and Speeded Up Robust Features(SURF) and artificial neural...
Traffic Sign Recognition (TSR) system is a vital component of intelligent transport system. It plays an important role by enhancing the safety of the drivers, pedestrians and vehicles as traffic signs provide important information of the traffic environment of the road and assist the drivers to drive more safely and easily by guiding and warning. This paper represents road sign detection and recognition...
Sparse decomposition has been widely used for different applications, such as source separation, image classification and image denoising. This paper presents a new algorithm for segmentation of an image into background and foreground text and graphics using sparse decomposition. First, the background is represented using a suitable smooth model, which is a linear combination of a few smoothly varying...
The paper presents a very simple and efficient way of color style transfer of a video using a reference image. Style transfer changes the mood of look and feel of video. Here, in this paper instead of RGB color space, for style transfer oRGB is used which is much more robust compared to other color spaces. Then the color space is segmented using an unsupervised k-means algorithm. Later, each cluster...
We present a method for multi-class segmentation from RGB-D data in a realistic warehouse picking setting. The method computes pixel-wise probabilities and combines them to find a coherent object segmentation. It reliably segments objects in cluttered scenarios, even when objects are translucent, reflective, highly deformable, have fuzzy surfaces, or consist of loosely coupled components. The robust...
Early detection of abnormality in image of skin is now considered the crucial contributor for successful treatment. We explored how constructing a sparse neighborhood net of pixels and distinction of patches in the image feature analysis play a role for diagnostic ability of lesion segmentation. Since image patches are considered like circumstance of many factors including skin tone, skin aberrations...
Recently, investigating boundary prior to aid other low-level image cues, have gained great attention in salient object detection. Although the salient regions are mostly located in the image center, the inverse might not necessarily be true. In addition, such kind of center-bias assumption is very simple and fragile, especially when salient regions often touch the image boundary or the images are...
This paper elaborated the fruit quality detection technique which was based on external properties of fruits such as shape, size and color. Due to large demand, manual monitoring of fruits are ineffectual for agriculture industry. So, it requires a competent technique which will help agriculture industry to full fill the demand of consumer. The proposed method is based on the use of speeded up robust...
This paper presents a method for extracting a non-rigid moving object from a video sequence. In order to actualize object extraction with minimal user interaction, we combine alpha matting and seed-line tracking. In the proposed method, the object region is separated from background based on seed lines given by user as a cue, and then the seed lines are automatically tracked to the next frames to...
Document is unavailable: This DOI was registered to an article that was not presented by the author(s) at this conference. As per section 8.2.1.B.13 of IEEE's "Publication Services and Products Board Operations Manual," IEEE has chosen to exclude this article from distribution. We regret any inconvenience.
Minimally invasive surgical and diagnostic systems rely on endoscopic images of internal organs to assist medical tasks. Specular highlights are common on those images due to the strong reflectivity of the mucus layer on the organs and the relatively high intensity of the light source. This is a significant source of error that can affect the systems' performance. In this paper, we propose a segmentation...
Wearable device with an ego-centric camera would be the next generation device for human-computer interaction such as robot control. Hand gesture is a natural way of ego-centric human-computer interaction. In this paper, we present an ego-centric multi-stage hand gesture analysis pipeline for robot control which works robustly in the unconstrained environment with varying luminance. In particular,...
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