Efficient CBIR Using Color Histogram Processing

Efficient CBIR Using Color Histogram Processing

The need for efficient content-based image retrieval system has increased hugely. Efficient and effective retrieval techniques of images are desired because of the explosive growth of digital images. content based image retrieval (CBIR) is a promising approach because of its automatic indexing retrieval based on their semantic features and visual appearance. The similarity of images depends on ...

Fast and Efficient Image Indexing Using Binary Color Histogram

The color histogram has played an important role on pattern recognition, image indexing, and many other applications. One of the major obstacles for applying color histograms is the intimidating storage and computational requirements due to its high dimension nature. In contrast to the conventional multi-valued color histogram, we propose a simplified binary color histogram in the HSV color spa...

Color Histogram Classification using NMF

Image Indexing Using Weighted Color Histogram

Image indexing is the process of image retrieval from databases of images or videos based on their contents. Specifically, histogram-based algorithms are considered to be effective for color image indexing. We suggest a new method of color space quantization in the CIELUV color space, named weighted LUV quantization. With this method, each bin in the LUV space has a different weighting factor, ...

Color Image Segmentation Using Acceptable Histogram Segmentation

In this paper, a new method for the segmentation of color images is presented. This method searches for an acceptable segmentation of 1D-histograms, according to a “monotone” hypothesis. The algorithm uses recurrence to localize all the modes in the histogram. The algorithm is applied on the hue, saturation and intensity histograms of the image. As a result, an optimal and accurately segmented ...