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Blur is certainly one of the most encountered and the most annoying degradation types in image. It is due to several causes such as compression, motion, filtering and so on. In order to estimate the quality of this kind of degraded images, several metrics have been proposed in the literature. In this paper, we focus our attention on stereoscopic images and we propose a fusion-based blind stereoscopic...
In this paper a no-reference image quality assessment (IQA) metric for DIBR-synthesized images is proposed. Sparsity based features of morphologically decomposed image subbands are used to estimate distortion level in images. A General regression neural network is utilized to calculate quality score. The performance is evaluated using publicly available IRCCyN/IVC DIBR image database. Experimental...
Horizon or skyline detection plays a vital role towards mountainous visual geo-localization, however most of the recently proposed visual geo-localization approaches rely on user-in-the-loop skyline detection methods. Detecting such a segmenting boundary fully autonomously would definitely be a step forward for these localization approaches. This paper provides a quantitative comparison of four such...
The discovery and analysis of community structures in networks is very helpful in many fields. Despite existing some well-known quality metrics for detecting and evaluating communities, each of them has its own limitations. In this paper we will discuss deeply these limitations for community detection and evaluation based on the definitions and formulations of these quality metrics.
Breast cancer is the leading cancer that affects women in the world. Early diagnosis of cancer prevents morbidity and mortality rate. Thermography is an additional tool for early diagnosis of breast cancer. Low contrast, poor Signal to Noise Ratio (SNR) and complex breast boundaries are the inherent limitation of breast thermal images which makes segmentation a challenging task. In this work, an attempt...
The popularity of 3D applications, such as Free View-point TV (FTV) and Multi-view Video plus Depth (MVD), induces a heavy requirement of synthesized views. However, the quality assessment of synthesized views is very challenging because the corresponding original views (reference views) are usually not available at both encoder and decoder sides. In this paper, we propose a new no-reference quality...
Pest camouflages in grains or natural environment cause significant difficulties in pest detection using imaging technologies. This paper proposes a convolutional Riemannian texture with differential entropic active contours to distinguish the background regions and expose pest regions. An image texture model is firstly introduced on the Riemannian manifold. A convolutional Riemannian texture structure...
Detection of corner is the most essential process in a large number of computer vision and image processing applications. We have mentioned a number of popular contour-based corner detectors in our paper. Among all these detectors chord to triangular arm angle (CTAA) has been demonstrated as the most dominant corner detector in terms of average repeatability. We introduce a new effective method to...
According to the characteristics of positive and negative edge of signed networks, a new signed networks community detection algorithm BTCN_SNCD (Signed networks Community Detection Based on the Tightness of Common Neighbors) is proposed based on the tightness of common neighbors. Firstly, in view of the shortcomings of the traditional local similarity metrics only considering the number of common...
Segmentation divides an image into different regions with each pixels having similar characteristics. Each of the segmented regions should strongly relate to objects in the image or features of interest for segmentation to be meaningful in image processing. Many methods for image segmentation depends on partitioning of an image into several similar regions. The superpixels generation method have gained...
Since video monitoring cameras now are implemented widely, video analytics has drawn much attention as a new research area. Correspondingly, there is an emerging need to detect faces through a period of video or a great number of videos to make comparisons with the stored identities in the database for personal identification or other purposes. Thus, face detection in video has gained great attention...
The estimation of blurred regions is an important stage in several computer vision applications. In this paper an efficient training-free detector of local blurriness based on edge features is presented. Due to the intrinsic sparsity of edges in natural images a blur map is creating by using an approach based on the heat diffusion principle. A 2D point discrete Poisson solver is concatenated with...
In this article, a novel scheme based on region growing segmentation is presented to detect features. This method provides solution to automatic seed selection in region growing segmentation, thus aims to segment the region of interest in an uneven background in industry X-radiography images. Otsu and Kittler's thresholds are employed for the automatic seed selection. The performance of the proposed...
Fuel cell is one of the best alternatives of fossil energy in the modern scenario. But still there are some shortcomings such as durability and reliability, which block the wide application of fuel cells. To overcome these barriers, fault diagnosis is an efficient solution. This paper proposes a method for finding dimensional accuracies in Kapton films in membrane electrode assemblies (MEA) of fuel...
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....
New algorithms for blocking artifact detection on a compressed satellite image by using a 7×7 block and for analyzing its characteristics are proposed. Blocking artifacts often appear on an image when it has a very high compression rate based on either the loss-compression or lossless compression. Localization of blocking artifact is useful for finding the image's characteristics. This study also...
This paper presents an image processing algorithm to highlight important features from Diptera wings, as a first step towards the development of an automated analysis tool for the identification, at a species level, of certain genres of Diptera based on their wings morphological characteristics. The present algorithm includes: patterns, landmarks, and spot cells, identification through filters, edge...
In this paper, we propose a scene clustering algorithm which uses straight line features. Scenes are represented as nodes in the graph, and each connectivity between nodes is calculated by a pre-trained vocabulary tree. By applying a spectral clustering algorithm to the constructed graph, the scenes are partitioned into k groups where k is determined by the proposed estimation method. Instead of using...
salient regions detection is a very popular topic in pattern recognition. A novel method was presented to detect salient regions using color volume and edge in the manner of simulating visual attention mechanism. In order to detect salient regions, we have combined color volume and edge cues together and used them as the primary visual features. Color and edge are important cues that attract human's...
This paper describes a method of image sharpness evaluation while taking into account the photographer's aesthetic intention. The main idea is utilizing a visual importance map that estimates the weight of each pixel to guild evaluating image sharpness. The visual importance map is computed automatically with a saliency detection algorithm based on global color contrast. Our technique allows to treat...
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