AN IMAGE RETRIEVAL SYSTEM BASED ON THE IMAGE FEATURE OF COLOR DIFFERENCES ON EDGES IN SPIRAL SCAN ORDER

In this paper, an image feature of color differences on edges in spiral scan order (CDESSO) is presented. This proposed CDESSO feature can characterize the principal pixel colors, color complexity and color differences among adjacent objects in an image. In addition, this paper employs the CDESSO feature to develop an image retrieval system. The CDESSO-based image retrieval system can provide a high accuracy rate in finding the database images that satisfy the users' requirement. Besides, it can also resist the scale variants of images as well as the shift and rotation variants of objects in images.

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Image Retrieval System with User Relevance Feedback

International Journal of Computer and Communication Technology ◽

10.47893/ijcct.2016.1346 ◽

2016 ◽

pp. 96-100

Author(s):

V. RAMACHANDRAN ◽

Y. Sowjanya Kumari ◽

P. Harini

Keyword(s):

Image Retrieval ◽

Retrieval System ◽

Image Feature ◽

Micro Structure ◽

Paper Test ◽

Gabor Features ◽

Interactive Genetic Algorithms ◽

Image Retrieval System ◽

Floor Planning ◽

Structure Descriptor

Image retrieval approach by proposing a new image feature detector and descriptor, namely the micro-structure descriptor (MSD). We present a computational model of creative design based on collaborative interactive genetic algorithms. This Paper test our model on floor planning. This Paper guide the evolution of floorplan based on subjective and objective criteria. The subjective criteria consists of designers picking the floorplan they like the best from a population of floorplans, and the objective criteria consists of coded architectural guidelines. The results demonstrate that it is much more efficient and effective than representative feature descriptors, such as Gabor features and multi-textons histogram, for image retrieval.

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Designing Image Retrieval System with the Concept of Visual Keys

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2006.p0136 ◽

2006 ◽

Vol 10 (2) ◽

pp. 136-144 ◽

Cited By ~ 4

Author(s):

Manabu Serata ◽

◽

Yutaka Hatakeyama ◽

Kaoru Hirota

Keyword(s):

Image Retrieval ◽

Retrieval System ◽

Image Database ◽

Text Retrieval ◽

Image Feature ◽

Feature Clustering ◽

Retrieval Time ◽

Retrieval Systems ◽

Retrieval Efficiency ◽

Image Retrieval System

A concept of visual keys is proposed to provide efficient and useful content-based image retrieval systems to users. Visual keys are defined as representative sub-images which are extracted from an image database by using image feature clustering. The proposed system is implemented and is tested on 1,000 images, which are included in the COREL database. Although the system makes use of only 80 sub-images from 8,962 ones extracted from the image database, the performance is kept with 90%. The retrieval time is within 4ms on the proposed system, which has retrieval efficiency like that of text retrieval by being applied text retrieval techniques, and thus the system is expected to provide the services on the WWW.

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