Automated Color Image Arrangement Method Based on Histogram Matching
نویسندگان
چکیده
منابع مشابه
Color scene transform between images using Rosenfeld-Kak histogram matching method
In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color...
متن کاملHistogram-Based Color Image Retrieval
In this project, six histogram-based search methods are investigated in two different color spaces, RGB and HSV. Histogram search characterizes an image by its color distribution, or histogram but the drawback of a global histogram representation is that information about object location, shape, and texture is discarded. Thus this project showed that images retrieved by using the global color h...
متن کاملColor Histogram-Based Image Segmentation
An algorithm is presented to segment a color image based on the 3D histogram of colors. The peaks in the histogram, i.e., the connected components of colors with locally maximal occurrence, are detected. Each peak is associated a representative color, which is the color of the centroid of the peak. Peaks are processed in decreasing occurrence order, starting from the peak with the maximal occur...
متن کاملColor Histogram Based Image Retrieval
Image search can be done using content based; colour has been taken as the property for searching. For searching local histogram searching has been used, Euclidean distance formula has been used for comparing the histograms of the images, in this paper query image is divided into two blocks, and each image in the database is also divided into two blocks and histograms are also calculated separa...
متن کاملA New Image Retrieval Method Based on Optimal Color Matching
Color is one of the most important low-level features used in image analysis and retrieval. In this paper we introduce an algorithm for extracting compact color feature in the CIELAB color space. Our method is based on an ant colony clustering algorithm, which helps us develop a perceptually based image similarity metric. We propose a dominant color and area percentage model, which provides a v...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Affective Engineering
سال: 2015
ISSN: 2187-5413
DOI: 10.5057/ijae.14.85