Abstract:
Content-based image retrieval (CBIR) is
the uses of visual features of the image, such as
color, texture, shape, match the query image and
database, return similar image to the user. Color
is the most significant feature of the visual image,
is also the main perceptual features of people to
identify the image, and has received extensive
attention and research of in image retrieval. This
paper describes Image Retrieval based on image
content feature especially in color. The image
content of RGB color values are stored in
database and compute with Euclidean distance by
comparing the color values of the query image to
that of each image values in the database. This
system shows the resulted images according to the
predefined threshold values in sorted order. This
system is implemented by using C#.NET and it is
test by using 200 images from standard image
database.
