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Advanced Driver Assistance Systems (ADAS) are used for assisting the drivers by providing advice and warnings when necessary. CTA (Cross Traffic Alert) systems are a subset of ADAS used for detecting objects (viz., cars, trucks, pedestrians, static objects etc) by using one or more moving cameras, mounted on a vehicle. Usually, CTA systems can detect moving objects within region of interest (ROI)...
Segmentation of images plays a significant role in image processing. For evaluating the quality of segmentation, several methods based on different approaches have been proposed. The essential question, therefore, arises how the quality of these evaluation methods can be compared. In this paper, we evaluate the quality of some published methods using a new methodology. We also present the results...
The very first step in many facial analysis systems is face detection. Though face detection has been studied for many years, there is not still a benchmark public database to be widely accepted among researchers for which both color and depth information are obtained by the same sensor. Most of the available 3d databases have already automatically or manually detected the face images and they are...
LED (Light Emitting Diode) based spectral imaging is advantageous for its fast computer controlled switching ability, availability of many different types of LEDs and cost effectiveness. It has been used in some applications like biometrics and arts, however, it has not been explored in film scanning. Here in this paper, we have proposed a LED based spectral film scanner that allows acquiring spectral...
Image segmentation is very essential and critical to image processing and pattern recognition. Various clustering based segmentation methods have been proposed. However, it is very difficult to choose the method best suited to the type of data. Therefore, the objective of this research was to compare the effectiveness of three clustering methods involving RGB, HSV and CIE L*a*b* color spaces and a...
This paper proposes a new self-adaptive feature extraction scheme to improve retrieval precision for Content-based Image Retrieval (CBIR) systems on mobile phones such that users can search similar pictures for a query image taken from their mobile phones. The proposed methods employ a newly modified extraction method using the Canny edge-based Edge Histogram Descriptor (CEHD), Color Layout Descriptor...
In this paper, we propose to rely on a recent image representation model, namely the alpha-tree, to achieve efficient segmentation of images and videos. The alpha-tree is a multiscale representation of an image, based on its quasi-flat zones. An in-depth study of this tree reveals some interesting features of image pixels and regions. These features are then used in the design of both automatic and...
Multi-camera tracking often involve the projection of image data onto a ground plane. In this paper, we analyze the propagation of object tracking errors after trajectory transformation from multiple views onto the ground plane. In particular, we contrast a deterministic and a probabilistic algorithm and present an empirical study of their multiple object tracking results on dataset of frames...
Though small size touch based displays have recently been very common, there is still much to do to make them affordable for larger sizes. One of the ways for doing so, which has be studied for the last decade, is to use camera based approaches in which one or more cameras are connected to a computer to use the processing power of the computer to provide touch features for a third device. This paper...
The diagnostic signature of many microvasculature diseases like diabetes mellitus, hypertension and arteriosclerosis includes the changes incurred in the diameter of retinal blood vessels. Therefore estimation of precise vascular widths is a critical and demanding process in automated retinal image analysis. This paper proposes an automated system to measure the vessel caliber in the retinal images...
Automatic adult video detection is a problem of interest to many organizations around the world. The aim is to restrict the easy access of underage youngsters to such potentially harmful material. Most of the existing techniques are mere extensions of image categorization approaches. In this paper we propose a video genre classification technique tuned specifically for adult content detection by considering...
Recently, there has been an explosion in the design of color filter arrays (CFA). While CFAs used to be based on red, green and blue primary colors, there is also a trend for the design of CFAs that use non-RGB colors. Also, some demosaicing algorithms are now proposed that not only work for the popular Bayer CFA, but also for various types of CFAs. In this paper, we propose an approach for performing...
Encoding images containing mixed content in web compatible formats like PNG, GIF and JPEG poses challenges in maintaining the quality along with good compression. In this paper, we describe a method for improving the compression of web compatible compound images while retaining high quality. The proposed method is based on the principle that the compression ratio of a given image depends upon both...
This paper describes a novel color hardcopy watermarking embedding. The proposed color embedding provides high transparency by modulating the watermark into the value and saturation color components of the document. After the color document is printed and distributed, the message is decoded by scanning the document and applying the proposed post processing based on a Laplacian of Gaussian whitening...
Key points-based image matching algorithms have proven very successful in recent years. However, their execution time makes them unsuitable for online applications. Indeed, identifying similar key points requires comparing a large number of high dimensional descriptor vectors. Previous work has shown that matching could be still accurately performed when only considering a few highly significant key...
Sharing and publishing images and photos have become the trend of nowadays (social networks, messengers, etc.). Providing appropriate techniques to preserve privacy and protect content of sensitive and private images is an essential need. In this paper, we present a novel security model for image content protection. In our model, we provide dynamic security rules based on first order logic to express...
Segmentation of remote sensing images is challenging task not only for the intrinsic complexity of imaged scenes but also for their multiple-scale interpretation. Hierarchical techniques, which provide a sequence of nested segmentation maps for the scene at different scales are therefore very promising. The Texture fragmentation and reconstruction technique (TFR) carries out a hierarchical image segmentation...
This paper introduces a new approach to edge-preserving smoothing of color segmented images. It is well suited for an efficient reduction of the texture contours in colored images that is an essential step in applications such as image classification or image retrieval. The algorithm reduces the artifacts in the homogeneous areas, but preserves all image structures like edges or corners. Our procedure...
This paper proposes a modified structure of Retinex algorithm for the image enhancement method. The proposed algorithm performs robustly and stably on various environments, particularly in bad weather and night vision. Especially, Retinex algorithm tends to show outstanding results as compared with other approaches, and also shows advantages at night vision. However, the Retinex algorithm has problems...
Visual information on the web, in particular in form of images, is increasing at a rapid rate. Consequently, efficient and effective techniques to retrieve visual information are sought after, especially as it can be usefully employed to augment textual information. Since users rarely annotate images, this proves to be a challenging task, however much progress has been reported in the area of content-based...
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