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Fundus images are an important diagnostic tool for many retinal diseases. Sometimes the images captured are of low quality and cannot be used for diagnosis requiring repeat image acquisition. So, it is efficient to have an automatic system to assess the quality of the fundus image during the time of image capture. We have developed an automatic approach to assess the quality of the acquired fundus...
This paper proposes a robust and stable disparity map generation algorithm using phase-based correspondence matching. When considering the application of auto stereoscopic displays, an accurate, robust and stable disparity map generation algorithm is indispensable to synthesize multiview images from a stereo image pair. The proposed algorithm considers a motion between the previous and current frames...
The paper mainly investigates the widely-used image features and related feature selection methods in content-based image retrieval (CBIR).The texture features and shape features that could be used in the retrieval of solar images are mainly discussed. The result of the survey indicates that although the CBIR related research work in solar image retrieval is comparatively less, the existing achievements...
This paper presents a method for estimating color face images from near-infrared monochrome face images. This estimation is done by the regression from a monochrome image to a color image. One difficult problem is that the regression depends on face organs. That is, the same intensity pixels in an infrared monochrome image do not correspond to the same color pixels. Therefore, entirely uniform regression...
This paper discusses the method to automatic mass segmentation and analysis of mammogram for classification of benign or malignant tumor. The identification process is started with image enhancement through cropping to remove artifacts, then followed by increasing the contrast through Contrast Limited Adaptive Histogram Equalization (CLAHE). The selection of mass candidate is carried out through 2...
In this paper, an improved pork freshness detecting method based on color features was presented according to the biochemical mechanism of pork metamorphism. The pork sample images were captured and processed by de-noisy and segmentation methods. Then, the fat areas were eliminated to reduce the influence of detection in HSV color space. A new Color Region Ratio (CRR) extraction method was presented...
For the complexity of the ship feature classification and sensitivity of optical sensor to weather, airspace, illumination and other marine environment, we propose a new unsupervised multi-ship image segmentation algorithm of remote sensing platforms, including separation from the target area of the adaptive multi threshold criterion, algorithm based on multiscale Ncut hierarchical, multi-objective...
Detecting artifacts introduced by gamut mapping algorithms is necessary to ensure the quality of color image reproduction. Machine based detection of artifacts shall reduce the tedious work of visual inspection. In this work, we propose to use contrast information to detect the artifacts introduced due to the process of gamut mapping. We further evaluate the proposed algorithm on a set of gamut mapped...
Image completion technique is widely used in image processing applications such as textural recovery, object removal, image edit, etc. When filling in the missing areas of an image, it is often a challenge to keep local consistency of image structures while avoiding ambiguity and visual artifacts. To tackle with this problem, we propose a robust sample-based image completion scheme which is a cascade...
We investigate the spatial distribution of salient objects in images. First, we empirically show that the centroid locations of salient objects correlate strongly with a centered, half-Gaussian model. This is an important insight, because it provides a justification for the integration of such a center bias in salient object detection algorithms. Second, we assess the influence of the center bias...
In the context of historical collection conservation and worldwide diffusion, this paper presents an automatic approach of historical book page layout segmentation. In this article, we propose to search the homogeneous regions from the content of historical digitized books with little a priori knowledge by extracting and analyzing texture features. The novelty of this work lies in the unsupervised...
In this paper, we propose an efficient scene text localization method using gradient local correlation, which can characterize the density of pair wise edges and stroke width consistency to get a text confidence map. Gradient local correlation is insensitive to the gradient direction and robust to noise, small character size and shadow. Based on the text confidence map, the regions with high confidence...
Properly utilizing the spatial correlation of regions benefits for improving the performance of label localization task. However, we could not obtain this information directly since we do not have the region level ground truth. In this paper, we propose a weakly spatial constrained graph propagation by mining the spatial correlation from unlabeled regions and integrating it into the graph propagation...
Objective assessment of fabric wrinkledness using multifractal methodology is addressed in the paper. As a first experiment with this methodology in this application field, AATCC standard durable press rating replicas, which are used by textile experts worldwide, were photographed and then segmented using common image processing methods. The resulting skeleton images were then analyzed using the multifractal...
Due to the wide availability of huge amount of multimedia data in various modalities such as image and text documents, having a great amount of similarity among them is inevitable. In this paper, we present an efficient model which correlates the similarity among documents belonging to various modalities to achieve cross-media retrieval. Cross-media retrieval is a content based information retrieval...
World experience shows the effectiveness of continuous monitoring of the fire hazardous areas to carry out management for decisions to prevent emergencies [1]. Identification of fires with the help of the images obtained by remote sensing of the earth surface, is essential to the economy, since timely identification of fire gives a real opportunity to localize and eliminate it in a small area, thus...
In a typical process industry, there are several critical dial gauges wherein the readings are to be monitored on a periodic basis. Most of these dial gauges are still analog in nature and currently these are being monitored manually. The manual capture of readings is a tedious task and is also prone to error. This paper outlines an algorithm that can automatically identify the dial gauge readings...
This paper explore the problem of unsupervised hierarchical segmentation for hyperspectral images using a multivariate version of the structure tensor [1] and morphological segmentation methods based on a pixel dissimilarity measures [2]. This spatial structure tensor fusions the edge information along the spectral dimension of the gradient by using weights based on the heat kernel. The unsupervised...
This paper describes a new accurate interpolation method of a low-resolution depth image using a high-resolution color image for the structural analysis of 3d data. Our method adopts the strategy to detect and omit regions where it is difficult to estimate depth value accurately. In order to achieve this, Color geodesic neighborhood is used as the local smooth surface, and depth data is interpolated...
Cost aggregation is the most essential step for dense stereo correspondence searching, which measures the similarity between pixels in the stereo images. In this paper, based on the analysis of the optimal adaptive weight, we propose a novel support aggregation strategy by adaptive weighting selection. The proposed method calculates the aggregation cost by the joint optimization of both left and right...
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