-Investigated is the problem of points matching in stereo images (both color and monochrome). The correlation method is applied to the areas around the points being matched. The influence of noise on the matching errors and the error reduction by vector and scalar filters are analyzed. The obtained results indicate that there is only a small difference between the matching precision of color an...

Standard color-matching functions are de

This paper proposes an algorithm of a face and facial component detection for face recognition. For efficient extraction using image processing, we analyze and improve detecting facial components that are the basis of an image characteristic. The proposed algorithm includes face region detection without the effect of skin color hairs, eye region detection with weighted template matching, eyebro...

We propose a new method for data compression of images generated by multi-channel visible spectra imaging (MVSI) using principal component analysis based on the independence of the color matching function vectors. In the proposed method, resamplings of spectral values are performed considering the independence of the color matching function vectors. Our experiments showed that the method is eff...

In this paper, we present a new stereo matching algorithm using global and local color segmentation. After we perform a quad-tree decomposition to generate global and local color segments, we determine meaningful depth information between global and local disparities based on the disparity space distribution. Unlike the previous segment-based stereo matching methods, we consider globality and l...

In this paper we presented a simple and effective method to detect faces in such a situation that the images to be tested are very similar to the images in a training set, by using color-based segmentation. Color segmentation is an effective process to separate skin from its background. The color segmentation process will be followed by energy thresholding. Face detection has been a fascinating...

Abstract Manufacturers of mosaic tiles often need to continuously improve the richness their tile colors, adding one or several new colors existing so that they can meet needs more users. In this thesis, problem is discussed in terms color fuzzy matching, combining Monte Carlo simulation and second-order diffusion decay model for selection, addition colors. The obtained results are visualized d...

Color-based indexing is an important tool in image data-base retrieval. Compared with other features of the image, color features are less sensitive to noise and background complication. Based on the human visual system’s perception of color information, this paper presents a dependent scalar quantization approach to extract the characteristic colors of an image as color features. The character...

Color ratio gradient (CRG) is a robust method used for color image retrieval and object recognition. It has been proven to be illumination-independent and geometry-insensitive when tested on scenery images. However, the color ratio gradient produces unsatisfying matching results when dealing with an object which appears rotated by a certain relative angle in the model and target images. In this...