We present a method to give (fused) multiband night-time imagery a natural day-time color appearance. For input, the method requires a false color RGB image that is produced by mapping 3 individual bands (or the first 3 principal components) of a multiband nightvision system to the respective channels of an RGB image. The false color RGB nightvision image is transformed into a perceptually deco...

162 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract— The objective of the image enhancement is to remove the noise. Real color images are images with noise. In traditional image enhancement algorithms color images are firstly converted to gray images. These algorithms enhanced noise while they enhanced image. In this paper wavelet transform is used for...

This paper presents a morphological classifier with application to color image segmentation. The basic idea of a morphological classifier is to consider a color histogram as a 3-D gray-level image, so that morphological operators can be applied to it. The final objective is to extract clusters in color space, that is, identify regions in the 3-D image. In this paper, we particularly focus on a ...

In content-based image retrieval systems the most efficient and simple searches are the color-based searches, which can be realized in several color spaces and by several color descriptors. In this paper the possibility of image classification using certain color descriptors is examined, and the usage of different color spaces and descriptors depending on the image database domain is presented.

Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundamental conflict between generality and objectivity. The goal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects...

Color spaces, color histograms, histogram distance measurements, size and quantization play an important role in retrieving images based on similarities. This paper presents a study of the effect of color quantization schemes for different color spaces (HSV, YIQ and YCbCr) on the performance of content-based image retrieval (CBIR), using different histogram distance measurements (Histogram Eucl...