Abstract:
Retrieval of an image is a more effective
and efficient for managing extensive image
database. Content Based Image Retrieval (CBIR) is
a one of the image retrieval technique which uses
user visual features of an image such as color,
shape, and texture features etc. This system presents
the combination of the three visual contents features
i.e. color, texture and shape information to achieve
higher retrieve efficiency. Color features are
extracted by using HSV (Hue-Saturation-Value)
color histogram and Gray Level Co-occurrence
matrix (GLCM) calculates the feature vector for
texture. Canny edge detection algorithm is used for
edge detection to calculate the feature vector for the
shape. The system developed an algorithm which
incorporates all three features such as color, texture
and shape to improve the performance of retrieval
of images. The experimental results demonstrate the
efficiency of the method
