In this paper, we propose a method for online subsequence matching between histogram-based stream synopsis structures under the dynamic warping distance. Given a query synopsis pattern, the work continuously identifies all the matching subsequences for a stream as the histograms are generated. To effectively reduce the computation time, we design a Weighted Dynamic Time Warping (WDTW) algorithm...

The well known method of histogram equalization for grey-level image enhancement is extended to color images in this paper. A method of direct 3-D histogram equalization is proposed which results in a uniform histogram of the RGB values. Due to the correlation between the bands, the principle on which grey-level (10) histogram equalization is based is not valid in the case of color images (3-0)...

In this paper we address the comparison of two feature matching techniques which can be integrated in the HMAX framework. This comparison involves the originally proposed MAX technique and the histogram technique originating from Bag-of-Words literature. We have found that each of these techniques have their own field of operation. The histogram technique clearly outperforms the MAX technique w...

In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, they can preserve texture and shape information of an object simultaneously. We employ Fisher criterion and mutual information to measure discriminability and features correlation of spatial histogram features. We furthe...

Kernel-based feature combination techniques such as Multiple Kernel Learning (MKL) use arithmetical operations to linearly combine different kernels (Lanckriet et al., 2004) (Orabona et al., 2010). We have discovered that the histograms of routinely used kernels are usually very different (see Fig.2 for example). This means that their units of measure are not the same, it is therefore necessary...

In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...

This paper presents a preprocessing technique that can provide the improved quality of image robust to illumination changes. First, in order to enhance the image contrast, we proposed new adaptive histogram transformation combining histogram equalization and histogram specification. Here, by examining the characteristic of histogram distribution shape, we determine the appropriate target distri...