In this paper we present a colour segmentation method based on a normalized colour naming algorithm which removes the effects of the varying conditions due to changes in scene illuminant. Images labelled with the colour name and intensity of small regions are further processed by a region growing step providing a sound segmentation. The method has been tested on a large set of images we get fro...

This paper presents a novel method MGARS to automatic road area segmentation based on motion and gray feature for the purpose of urban traffic surveillance. The proposed method can locate road region by region growing algorithm with the fusion feature of motion information and grayscale of background image, which is independent to road marker information. An adaptive background subtraction appr...

This paper describes a new region-growing technique that uses a closed snake driven by a pressure force that is a function of the statistical characteristics of image data. This statistical snake expands until its elements encounter pixels that lie outside user-defined limits relative to a seed region; when these limits are violated the pressure force is reversed to make the model contract. Ten...

We introduce a self-assessed region growing technique capable of producing airway segmentations with reasonable quality. The main advantages of our technique are its robustness against leakage, and the absence of any training stages. Our method can not be considered fully automatic as it requires manual seeding of the trachea region, although there exists a variety of techniques to circumvent t...

Five different threshold segmentation based approaches have been reviewed and compared over here to extract the tumor from set of brain images. This research focuses on the analysis of image segmentation methods, a comparison of five semi-automated methods have been undertaken for evaluating their relative performance in the segmentation of tumor. Consequently, results are compared on the basis...

Saliency detection aims to detect the most attractive objects in images, which has been widely used as a foundation for various multimedia applications. In this paper, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel prior. First, we generate an initial saliency map based on a color saliency map and a depth saliency map of a given RGB-D image. The...

Proof: Let R1 and R2 denote the instances of a region R in I1 and I2. In order to detect the entire region R, at least one descriptor d1 ∈ R1 has to randomly sample its correct match d2 ∈ R2 (following which the entire region will be ‘grown’ due to the propagation phase of the Region Growing Algorithm described in Section 4). So, the probability of detecting a region is equal to the probability...

Massive events, as sportive events, involves a huge amount of spectators. Citizens that wish to attend buy a ticket that allzows them to seat in a given zone of the stadium with several features, but usually they do not buy the physical seat at the sport ground. Then, one of the duties of the organizing committees is to allocate the different localities of the enclosure to the persons that have...

This paper presents one efficient automatic detection method for filament disappearance. The method was applied to the Big Bear Solar Observatory (BBSO) fulldisk Hα images. The initial step is to detect the filament pixels by the threshold method. Then, using a regiongrowing method, we merge the adjacent detected pixels to obtain all filament areas. Based on these two steps, an automatic filame...