Since texture is a fundamental character of images, it plays an important role in visual perception, image understanding and scene interpretation. This paper presents a texture-based pattern recognition scheme for Sony robots in the RoboCup domain. Spatial frequency domain algorithms are adopted and tested on a PC while simple colour segmentation and blob-based recognition are implemented on re...

The ability to autonomously adapt to variations in the environmental conditions is a very useful feature for mobile robots. Of particular interest in robotic soccer are self-calibrating vision systems that automatically adapt to local lighting conditions. The paper presents a method for autonomous calibration of a color classificator used for color blob-based image segmentation and landmark and...

Abstract. Motivated by classical vortex blob methods for the Euler equations, we develop a numerical blob method for the aggregation equation. This provides a counterpoint to existing literature on particle methods. By regularizing the velocity field with a mollifier or “blob function”, the blob method has a faster rate of convergence and allows a wider range of admissible kernels. In fact, we ...

The current paper provides methods to correct the artifact known as “red eye” by means of digital color image processing. This artifact is typically formed in amateur photographs taken with a built-in camera flash. To correct red eye artifacts, an image mask is computed by calculating a colorimetric distance between a prototypical reference “red eye” color and each pixel of the image containing...

The growing of multimedia content has motivated the need of tools to do image browsing and annotation; several texture descriptors have been proposed, but the high degree of complexity textures can achieve has limited their success. In this paper the concept of subtexture is introduced in order to make the automatic description of a texture adaptable to its complexity degree. A subtexture compo...

The main goal of this paper is to define a new colour space that represents the colour information of the image in such a way to give a more coherent spatiochromatic representation. This space can allow to improve the performance of the algorithms of blob detection. To build the space we base colour representation on the ridges of the colour image distribution since it has been proved that they...

Blob-like structures occur often in nature, where they aid in cueing and the pre-attentive process. These structures often overlap, form perceptual boundaries, and are heterogeneous in shape, size, and intensity. In this paper, voting, Voronoi tessellation, and level set methods are combined to delineate blob-like structures. Voting and subsequent Voronoi tessellation provide the initial condit...

In image processing pre-processing is used for preparing or improving performance of operations. In order to improve performance of extraction algorithms in Discrete Cosine Transform (DCT) based watermarking method, a new prefiltering method is proposed in this paper. Enhancement filters are applied to the watermarked image as pre-filtering before running watermark extraction algorithms in DCT ...

In this paper we propose an offline method for refining audio-to-score alignment at the note level in the context of orchestral recordings. State-of-the-art score alignment systems estimate note onsets with a low time resolution, and without detecting note offsets. For applications such as score-informed source separation we need a precise alignment at note level. Thus, we propose a novel metho...

Two-dimension gel electrophoresis (2-DE) is a proteomic technique that allows the analysis of protein profiles expressed in a given cell, tissue or biological system at a given time. The 2-DE images depict protein as spots of various intensities and sizes. Due to the presence of noise, the inhomogeneous background, and the overlap between the spots in 2-DE image, the protein spot detection is n...