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Estimating the initial background of a scene is a key prerequisite for several applications in video analytics. In this paper, we present a simple approach that takes into account spatio-temporal motion intensities while estimating the true background. We tested the algorithm on real video sequences from the Scene Background Initialization (SBI) benchmark dataset, and the results show that the algorithm...
Superpixel segmentation targets at grouping pixels in an image into atomic regions that align well with the natural object boundaries. In this paper, we propose a novel superpixel segmentation method based on an iterative and adaptive clustering algorithm that embraces color, contour, texture, and spatial features together. The algorithm adjusts the weights of different features automatically in a...
We propose a new superpixel algorithm based on exploiting the boundary information of an image, as objects in images can generally be described by their boundaries. Our proposed approach initially estimates the boundaries and uses them to place superpixel seeds in the areas in which they are more dense. Afterwards, we minimize an energy function in order to expand the seeds into full superpixels....
Superpixel decomposition methods are generally used as a pre-processing step to speed up image processing tasks. They group the pixels of an image into homogeneous regions while trying to respect existing contours. For all state-of-the-art superpixel decomposition methods, a trade-off is made between 1) computational time, 2) adherence to image contours and 3) regularity and compactness of the decomposition...
Black skin lesion images generally show low contrast between lesion parts and safe ones. Segmentation of such images is a challenging task. In this paper, we propose a novel method that first select safe likely skin region using a Multi-Layer Perceptron (MLP) Neural Network. Then, color of these selected regions is transformed, in order to increase the contrast with lesion regions. The obtained image...
In automatic videosurveillance system, the first step is the extraction of moving objects. In this work, we investigate a new approach for foreground-background segmentation by using a modified Codebook algorithm. This approach exploit the perceptual information to optimize the detection. It is an adaptive strategy which is proposed to to reduce the computational complexity of the foreground detection...
Superpixel segmentation becomes more and more popular in the fields of computer vision and image processing. The simple linear iterative clustering (SLIC) is widely used due to its high segmentation accuracy and low computational complexity. In this paper, we propose a variance adaptive SLIC (VASLIC) algorithm. The compactness factor of the proposed algorithm is determined according to the image neighbourhood...
The goal of this paper was to apply fuzzy clustering algorithm known as Fuzzy C-Means to color image segmentation, which is an important problem in pattern recognition and computer vision. For computational experiments, serial and parallel versions were implemented. Both were tested using various parameters and random number generator seeds. Various distance measures were used: Euclidean, Manhattan...
Video Shot Detection is used to determine the scene changes in the video. Video Summarization provides most informative frames to generate the abstract of the input video. In this paper, we have integrated both the concepts for the better outcome of the results. The Color Layout Descriptor and Expected-Maximization are used for the Video Shot Detection and Video summarization respectively. The output...
The individualization of an object from a digital image is a common problem in the field of image processing. We propose a modified version of the watershed algorithm for image segmentation. We have presented an adaptive masking and a threshoding mechanism over each color channel to overcome over segmentation problem, before combining the segmentation from each channel into the final one. Our proposed...
Recent night-vision cameras provide multiband images with complementary information which is useful to enable operations at night and in adverse weather conditions. The grayscale fused image is unnatural in appearance and therefore it is difficult to design a reliable intelligent system based on this results. In this paper, efficient natural color transfer method based on color map clustering is proposed...
There are many video images where hand written text may appear. Therefore handwritten scene text detection in video is essential and useful for many applications for efficient indexing, retrieval etc. Also there are many video frames where text line may be multi-oriented in nature. To the best of our knowledge there is no work on handwritten text detection in video, which is multi-oriented in nature...
Color constancy endows the machines with the ability of identifying the color regardless of the illuminant. Considering none of single algorithms available is universal, this paper presents a novel combination approach based on local texture features and local regression. To better represent images, local texture features based on integrated Weibull distribution are firstly extracted on the overlapping...
This paper presents a new index for measuring interval distances and its related metric. The proposed index and metric are both based on the Hausdorff distance which can be used for clustering uncertain interval data. Then using the new metric, a clustering method is introduced for clustering of intervals. Finally, some experiments are provided to validate the method. Results show that the method...
We consider pixel labeling problems where the label set forms a tree, and where the observations are also labels. Such problems arise in feature-space analysis with a very large label set, for instance in color image segmentation. In this case a tree of labels can be constructed via hierarchical clustering of the observations. This leads to an obvious distance function between two labels, namely their...
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