The problem associated with Illumination variation is one of the major problems in image processing, pattern recognition, medical image, etc; hence there is a need to handle and deal with such variations. This paper presents a novel and efficient algorithm for images illumination correction call local graph structure (LGS). LGS features are derived from a general definition of texture in a loca...

CIIPS Glory is using a local intelligence approach to solve the task of robot soccer. In this respect our system is much closer to the F-2000 league (mid-size) than other approaches in the F180 (small-size) league. We are using EyeBot controllers, the RoBIOS operating system and the EyeCam digital onboard camera systems (CMOS). Our robot family also comprises 6-legged and biped walking machines...

In this paper we present a novel algorithm to synthesize an optimal decision tree from OR-decision tables, an extension of standard decision tables, complete with the formal proof of optimality and computational cost analysis. As many problems which require to recognize particular patterns can be modeled with this formalism, we select two common binary image processing algorithms, namely connec...

Modern digital cameras include an image processing pipeline that converts raw sensor data to a rendered RGB image. Several key steps in the pipeline operate on spatially localized data (demosaicking, noise reduction, color conversion). We show how to derive a collection of local, adaptive linear filters (kernels) that can be applied to each pixel and its neighborhood; the adaptive linear calcul...

Full-reference image quality assessment (FR-IQA) techniques compare a reference and a distorted/test image and predict the perceptual quality of the test image in terms of a scalar value representing an objective score. The evaluation of FR-IQA techniques is carried out by comparing the objective scores from the techniques with the subjective scores (obtained from human observers) provided in t...

New filters for multichannel image processing are introduced and analysed. The proposed methodology constitutes a unifying and powerful framework for multichannel signal processing. The new filters use fuzzy membership functions based on different distance measures among the image vectors to adapt to local data in the image. Fuzzy aggregators are utilized to determine the weights in the propose...

Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for percep...

A novel adaptive mean shift filter is'proposed for unsupervised color image segmentation. Segmentation is obtained by iteratively estimating local clusters and modifying (filtering) pixels along the steepest ascent towards their nearest clusters using local data fimn randomly partitioned image, followed by a simple post processing. Several new steps are introduced to avoid pixels drifting towar...