As we know, histogram matching is a commonly-adopted technique in the applications of pattern recognition. The matching of two patterns can be accomplished by matching their corresponding histograms. In general, the number of features and the resolution of each feature will determine the size of histogram. The more the number of features and the higher the resolution of each feature, the strong...

In this paper, morphological connected transformation technique is used to detect the background of the image is captured in poor lighting. Here the contrast image enhancement has been carried out by histogram equalization. Histogram equalization is a well known technique where image quality is improved by equally distributing pixel intensity through available grey scale. The histogram of an im...

Histogram is a commonly used tool for visualizing data distribution. It has also been in semi-supervised and unsupervised anomaly detection tasks. The histogram-based outlier score fast method that become more popular because of the rapid increase amount collected recent decades. Histogram-based can be computed using either static or dynamic bin-width histograms. When histogram contains large g...

The traditional method for creating a color histogram is to equally subdivide a certain color space into a given number of bins and then count the number of pixels each bin contains. Using such a histogram, the performance of almost all methods of histogram comparison are highly sensitive to the localization of the bin boundaries. In order to alleviate this sensitivity a new method of histogram...

Adaptive Histogram Equalization (AHE) often introduces artifacts, for example at the edges of relatively homogeneous regions. In this contribution we propose a variation of global histogram equalization, that avoids these artifacts. The method which is called Interactive Histogram Equalization (IHE) is based on a simpler calculation than AHE. IHE can be a serious competitor for the established ...

The most noteworthy conclusion of image processing is a contrast enhancement. The most regular system for histogram equalization is utilized for retouching contrast within digital images. Histogram equalization is so advantageous and useful for image contrast enhancement method. Nonetheless, the traditional histogram equalization methods normally conclusion in surpassing complexity upgrades whi...

Histogram search characterizes an image by its color distribution. It represents a popular mean of feature representation in computer vision. In This paper, we developed an efficient algorithm for image searching based on matching of Histogram using fuzzy sets. We used Fuzzy Sets in This paper for performing Image searching efficiently. We investigated histogram search methods in two different ...