We propose a multiresolution color feature extraction scheme based on octree data structure to achieve efficient and robust image retrieval. With the proposed method, multiple color features, including the dominant color, the number of distinctive colors and the color histogram, can be naturally integrated into one framework. A selective filtering strategy is also described to speed up the retr...

simple and fast reflectional symmetry detection algorithm has been developed in this Apaper. The algorithm employs only the original gray scale image and the gradient information of the image, and it is able to detect multiple reflectional symmetry axes of an object in the image. The directions of the symmetry axes are obtained from the gradient orientation histogram of the input gray scale ima...

Sleep is very important physiology to our human, about one third of human life was sent over to sleep. This paper measures of sleep and proposes sleep quality and future direction in order to improve the sleep environment. Sleep measure was determined by using X2 histogram that is one of the scene change detection method. X2 histogram method is one of the statistical scene change detection and ...

Remote sensing is a field that has wide use, leading to the fact that it has a great importance. Therefore performance of selected features plays a great role. In order to gain some perspective on useful textural features, we have brought together state-of-art textural features in recent literature, yet to be applied in remote sensing field, as well as presenting a comparison with traditional o...

Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a  database. In medical applications, CBIR is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. As the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retri...

Recent investigations have shown the advantages of keeping multiple hypotheses during visual tracking. In this paper we explore an alternative method, which presents the concepts of histogram matching technique and absolute frame subtraction to implement a robust automated object tracking system. The object is later tracked using discrete kalman filter technique. Such a tracking system reduces ...

The fundamental and important pre-processing stage in image processing is the image contrast enhancement technique. Histogram equalization is an effective contrast enhancement technique and thus in this paper, a histogram equalization based technique called Quadrant Dynamic with Automatic Plateau Limit Histogram Equalization (QDAPLHE) is introduced. In this method, a hybrid of dynamic and clipp...

Generally for improving contrast in digital images, HE is the method that commonly used but in result it gives unnatural artifacts like intensity saturation, over-enhancement and noise amplification. To overcome these problems there was a need to partition the image histogram, at first image histogram was partitioned into two parts and then different transformation functions were applied on eac...

This paper proposes a novel face detection method intended to be used for practical intelligent environment and human-interactive robot. Face detection and recognition are very crucial for such applications. However, in the real situation, it is not easy to realize the robust detecting function because position, size, and brightness of face image are much changeable. The proposed method solves ...

-Contrast enhancement is an important factor in the gray scale images. One of the widely accepted contrast enhancement method is the Histogram equalization (HE). HE achieves comparatively better performance on almost all types of image but sometimes produces excessive visual deterioration. The proposed Contrast Enhancement using Brightness Preserving Histogram Plateau Limit (CEBPHPL) method pro...