Object-Based Image Retrieval Using Color Adjacency and Clustering Method
نویسندگان
چکیده
منابع مشابه
Object-based Color Image Retrieval Using Concentric Circular Invariant Features
This paper proposes a novel object-based method using local concentric circular invariant features for color image retrieval. With this approach, the salient objects are firstly segmented and converted into several concentric circular subimages with the square-to-circular image transformation. The local invariant features for each subimage which are robust to image rotation, object translation ...
متن کاملRotation and Scale Invariant Color Image Retrieval Using Fuzzy Clustering
Color is one of the most important image features used in content-based image retrieval (CBIR). This paper proposes a robust and effective color feature known as ring-based fuzzy histogram (RFH), which reduces noise sensitivity in conventional color histograms (CCH) by using two stages of fuzzy clustering. By partitioning images into rings, RFH can capture an image’s spatial information, and is...
متن کاملImage Indexing and Retrieval Based on Human Perceptual Color Clustering
We propose a new image retrieval method based on human perceptual clustering of color images. This color clustering produces for each image a small set of representative colors which captures the color properties of the image, and a small set of sizable contiguous regions which captures the spatial/geometrical properties of the image. The proposed method outperforms the traditional histogram an...
متن کاملImage Retrieval Using Local Object Appearance and Spatial Color Layout
In the current scenario, information retrieval is one of the major research areas. The retrieval process in image databases, evaluation of similarity and their mutual relationships depends on the content representation with various features. Since 1992, the multidimensional research has been carried out to meet out the aim with color, shape, texture and spatial layout as the features. In this p...
متن کاملColor image segmentation using density-based clustering
Color image segmentation is an important but still open problem in image processing. In this paper, we propose a method for this problem by integrating the spatial connectivity and color feature of the pixels. Considering that an image can be regarded as a dataset in which each pixel has a spatial location and a color value, color image segmentation can be obtained by clustering these pixels in...
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: The KIPS Transactions:PartB
سال: 2005
ISSN: 1598-284X
DOI: 10.3745/kipstb.2005.12b.1.031