Image Retrieval Based On Color and Texture Features of the Image Sub-blocks
نویسندگان
چکیده
منابع مشابه
Image Retrieval Based On Color and Texture Features of the Image Sub-blocks
Nowadays people are interested in using digital images. So the size of the image database is increasing enormously. Lot of interest is paid to find images in the database. There is a great need for developing an efficient technique for finding the images. In order to find an image, image has to be represented with certain features. Color and texture are two important visual 1 / 4
متن کاملTexture-Based Image Retrieval based on Multistage Sub-Image Matching
This paper presents an unsupervised texture image segmentation algorithm using clustering. Two criteria are proposed in order to construct a feature space of reduced dimensions for texture image segmentation, based on selected Gabor ?lter subset from a prede?ned Gabor ?lter set. An unsupervised clustering algorithm using the mean shift clustering method is then applied to the reduced feature sp...
متن کاملImage Retrieval: Color and Texture Combining Based on Query-Image
It is a common way to process different image features independently in order to measure similarity between images. Color and texture are the common ones to use for searching in natural images. In [10] a technique to combine color and texture features based on a particular query-image in order to improve retrieval efficiency was proposed. Weighted linear combination of color and texture metrics...
متن کاملContent Based Image Retrieval based on Color, Texture and Shape features using Image and its complement
Color, texture and shape information have been the primitive image descriptors in content based image retrieval systems. This paper presents a novel framework for combining all the three i.e. color, texture and shape information, and achieve higher retrieval efficiency using image and its complement. The image and its complement are partitioned into non-overlapping tiles of equal size. The feat...
متن کاملContent-based image retrieval using color and texture fused features
A Content Based Image Retrieval System is a computer system for browsing, searching and retrieving images from a large database of digital images .Most common methods of image retrieval utilize some method of adding meta data such as captioning, keywords or description to the images so that retrieval can be performed over the annotation words. Content Based Image Retrieval (CBIR) deals with ret...
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 Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/1958-2619