This book provides a review of various computer vision, image processing and artificial intelligence methods, most of them aimed at assisting diagnostic decision making. Most of the reviewed work revolves around computeraided detection (CAD) in mammography, ranging from the description of the basic structure of a CAD system to a more elaborate exposition of specific methods such as image classi...

In this paper we describe the 3D modeling and interactive visualization of 3D city models generated from multispectral digital aerial images. The proposed 3d modeling approach integrates spectral classification to obtain a semantic description of the reconstructed scene. The workflow consists of several consecutive steps, namely an initial land use classification (LUC), the aerial triangulation...

Automatic image quality assessment as well as image classification onto indoor/outdoor ones are performed by subdivision of image under analysis onto a number of fragments. Detecting overexposed, underexposed, low contrast or normal images is carried out by analyzing luminance histogram of the image and its constituting segments. At the stage of image classification, support vector machines (SV...

From the point of view of graph signal processing, we show that spectral clustering is equivalent to an ideal low-pass filterbank. Building upon previous multiscale community detection ideas [11], and integrating the concept of community cores [8], we propose a data-driven filterbank-based classification method. We apply this method to the texture classification of photographic papers useful to...

Pairwise pixel interactions have proved to be a powerful tool in feature based 3,7] as well model based 9] texture analysis. Diierent aspects and components of the feature based interaction map (FBIM) approach have already been discussed, but no self-contained description of the FBIM has been published yet. This paper provides a comprehensive up-to-date survey of the approach, including major a...

Nowadays, automatic defects detection in MRI (Magnetic Resonance image) is very important in many diagnostic and therapeutic applications. This paper introduces a Novel automatic brain tumor detection method to determine any abnormality in brain tissues. Here, a number of features which represent a description of brain tissues are extracted. The retrieval of images based on visual features tech...

1.1. Brief overview on research areas 2. History of displays/projectors 3. Smart Projectors 3.1. Description 3.2. Areas of application 3.3. Core technological realization 3.3.1. Undistorted projection 3.3.2. Color correction 3.3.3. Lamberts Law 3.3.4. Neutralized texture 3.4. Applied technological tools 3.5. Smart Projectors in habitual environments 3.5.1. Calibration 3.5.2. Multiple Viewers 3....

Under our enhancement, the luminance changes created by a texture are also enhanced. As we found with the book example, this simply means the enhancement is less robust to changes in radius and enhancement strength users may choose a weaker effect to avoid enhancing the textures. Or, should the user have special reason not to enhance texture at all, he or she may choose to render in two passes ...

In this work sensory characteristics of cookies with different amount of chestnut flour were determined by sensory and instrumental methods. The wheat flour for cookies was substituted with chestnut flour in three different levels (20, 40 and 60%) and the dough moisture was 22%. The control sample was with 100% of wheat flour. Sensory quality of the cookies was described using quantity descript...

Evaluation is considered to be an important component of any creative process. This paper explores how evaluation can be incorporated into our minimal model of creativity, which we have been developing using a combination of conceptual analysis and evolutionary robotics. Specifically, we consider how to extend our approach so that the robots themselves can evaluate mark patterns that they, or o...