In this study, we proposed score fusion technique to improve the performance of remote sensing image retrieval system (RS-IRS) using combination of several features. The representation of each feature is selected based on their performance when used as single feature in RS-IRS. Those features are color moment using L*a*b* color space, edge direction histogram extracted from Saturation channel, ...

We propose a considerably faster approximation of the well known SIFT method. The main idea is to use efficient data structures for both, the detector and the descriptor. The detection of interest regions is considerably speed-up by using an integral image for scale space computation. The descriptor which is based on orientation histograms, is accelerated by the use of an integral orientation h...

One very influential method for texture synthesis is based on the steerable pyramid by alternately imposing marginal statistics on the image and the pyramid’s subbands. In this work, we investigate two extensions to this framework. First, we exploit the steerability of the transform to obtain histograms of the subbands independent of the local orientation; i.e., we select the direction of maxim...

We report a new statistical feature relating a bilingual word pair in a non-parallel English-Chinese corpus. It is found that the lengths of context segments of a word is closely correlated to that of its translation, even when the corpus is non-parallel, i.e., monolingual texts which are not translations of each other. The context segment length histogram of a word has a characteristic pattern...

There are numbers of methods prevailing for Image Mining Techniques. This Paper includes the features of four techniques I,e Color Histogram, Color moment, Texture, and Edge Histogram Descriptor. The nature of the Image is basically based on the Human Perception of the Image. The Machine interpretation of the Image is based on the Contours and surfaces of the Images. The study of the Image Mini...

A spatial co-orientation pattern refers to objects that frequently occur with the same spatial orientation, e.g. left, right, below, etc., among images. In this paper, we introduce temporal co-orientation pattern mining which is the problem of temporal aspects of spatial co-orientation patterns. A temporal coorientation pattern represents how spatial co-orientation patterns change over time. Te...

The detection of aligned groups of objects is important for satellite image interpretation. This task can be challenging when objects have different sizes. In this paper, we propose a method for extracting aligned objects from a labeled image. In this method we construct a neighborhood graph of the objects of the image, and its dual graph where we incorporate information about the relative dire...

It is argued that global illumination should be modeled separately from other incidents that change the appearance of objects The e ects of intensity variations of the global illumination are discussed and constraints deduced that restrict the shape of a function that maps the histogram of a template to the histogram of an image location This approach is illustrated for simple pattern matching ...