Saliency regions attract more human’s attention than other regions in an image. Low- level and high-level features are utilized in saliency region detection. Low-level features contain primitive information such as color or texture while high-level features usually consider visual systems. Recently, some salient region detection methods have been proposed based on only low-level features or hig...

the study area is located in the central iranian tectono-magmatic zone, which is known for its world-class ioa-type iron ore deposits. the advanced space borne thermal emission and reflection radiometer (aster) and landsat enhanced thematic mapper plus (etm+) image-processing techniques, were used in satellite imagery through conventional and also modern processing methods including band ratios...

As digital photography rapidly replacing the traditional film photography as the photography of choice for all but a few devoted professionals, post image processing of natural color photos such as denoising becomes increasingly an integral part of digital photography. Although many denoising schemes have been designed, almost none specifically target natural color photos. Noise in natural colo...

In digital image reproduction, it is often desirable to compute image difference of reproductions and the original images. The traditional CIE color difference formula, designed for simple color patches in controlled viewing conditions, is not adequate for computing image difference for spatially complex image stimuli. Zhang and Wandell [Proceedings of the SID Symposium, 1996; p 731–734] introd...

In this paper, we present a new algorithm that automatically classifies the pH level on a test strip using color image processing techniques. This algorithm is implemented on a camera phone that captures color images of pH test strips for healthcare or medical purpose. Experimental results show that this new approach is more robust in handling reflection and skewed placements of the test strip...

Mobile change detection systems allow for acquiring image sequences on a route of interest at different time points and display changes on a monitor. For the display of color images, a processing approach is required to enhance details, to reduce lightness/color inconsistencies along each image sequence as well as between corresponding image sequences due to the different illumination condition...

Color quantization is an important technique in digital image processing. Generally it involves two steps. The first step is to choose a proper color palette. The second step is to reconstruct an image by replacing original colors with the most similar palette colors. However a problem exists while choosing palette colors. That is how to choose the colors with different illumination intensities...

Histogram equalization (HE) is one of the simplest and most effective techniques for enhancing gray-level images. For color images, HE becomes a more difficult task, due to the vectorial nature of data. We propose a new method for color image enhancement that uses two hierarchical levels of HE: global and local. In order to preserve the hue, equalization is only applied to intensities. For each...

Due to the advent of computer technology image-processing techniques have become increasingly important in a wide variety of applications. Image segmentation is a classic subject in the field of image processing and also is a hotspot and focus of image processing techniques. With the improvement of computer processing capabilities and the increased application of color image, the color image se...

Image fingerprinting systems aim to extract unique and robust image descriptors (in analogy to human fingerprints). They search for images that are not only perceptually similar but replicas of an image generated through mild image processing operations. In this paper, we examine the use of color descriptors based on a 24-color quantized palette for image fingerprinting. Comparisons are provide...