Background: Early simple, low-cost diagnosis of schizophrenia may accelerate the beginning of the treatment process. Here, utilizing the projective tools, including fractal images, are some of the diagnostic aids. Objectives: This study aimed to compare the preferences, descriptions, and response latency to fractal images between schizophrenic and healthy individuals. Materials & Methods: In ...

Infinity is where things happen that don't. — S. Knight Ever since Benoit Mandelbrot published his book on fractals [1], we've become accustomed to seeing fantastic and beautiful fractal images such as the ones at the bottom of the pages of this article. A fractal is a mathematical object that exhibits self similarity — it looks the same at any scale. If you zoom in on an image of a fractal, yo...

The high complexity of remotely sensed images and measurements, provided by the last generation of sensors, demands new techniques for scene understanding and analysis. The paper introduces topics in multisensor and synthetic images fusion. The fractal geometry is applied for unknown information modelling. Integrated techniques in computer graphics and computer vision are used. A new method is ...

The immense use of the images in the field of communication and animation drives the attention towards an important concept i.e. compression, because of compactness and restricted size for the data storage. From last few years a continuous development is going on in the field of compression. For still image compression JPEG is used world -wide. But other methods are also being explored; Fractal...

Tissue image classification is a challenging problem due to the fact that the images contain highly irregular shapes in complex spatial arrangement. The multi-fractal formalism has been found useful in characterizing the intensity distribution present in such images, as it can effectively resolve local densities and also represent various structures present in the image. This paper presents a d...

The fractal image coding technique has attracted a degree of interest for its low bit rate. But the reconstructed image is of medium quality. This problem has prevented the fractal technique from being practically used. In order to improve the compression fidelity, a new affine transformation is proposed in this paper. Meanwhile, its contractivity requirement is analyzed, and the optimal parame...

QUANTUM EVOLUTIONARY ALGORITHM (QEA) IS A NOVEL OPTIMIZATION ALGORITHM, PROPOSED FOR COMBINATORIAL PROBLEMS LIKE KNAPSACK AND TRAP PROBLEMS. WHILE FRACTAL IMAGE COMPRESSION IS IN THE CLASS OF NP-HARD PROBLEMS AND QEA IS HIGHLY SUITABLE FOR THE CLASS OF COMBINATORIAL PROBLEMS, QEA IS NOT WIDELY USED IN FRACTAL IMAGE COMPRESSION YET. IN ORDER TO IMPROVE THE PERFORMANCE OF FRACTAL IMAGE COMPRESSIO...

The vast amount of data generated by automated surface distress evaluation equipment far exceeds the storage capabilities of current digital data storage systems. A study using fractals is being carried out to alleviate the data storage problem, since fractal image compression offers the largest compression ratio of the available image compression algorithms. This paper discusses the use of fra...

This paper is an application of Ant Colony Metaheuristic (ACO) to the problem of image fractal compression using IFS. An ACO hybrid algorithm is proposed for image fractal compression and the results obtained are shown. According to the tests carried out, the proposed algorithm offers images with similar quality to that obtained with a deterministic method, in about 34% less time.