International Journal of Computer Vision
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Wavelet-based image indexing techniques with partial sketch retrieval capability
IEEE ADL '97 Proceedings of the IEEE international forum on Research and technology advances in digital libraries
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recent applications of IBM's query by image content (QBIC)
SAC '96 Proceedings of the 1996 ACM symposium on Applied Computing
Shape Similarity Measure Based on Correspondence of Visual Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modern Information Retrieval
Computer Vision
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
mCLOVER: mobile content-based leaf image retrieval system
Proceedings of the 13th annual ACM international conference on Multimedia
A content-based image retrieval system for fish taxonomy
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Utilizing venation features for efficient leaf image retrieval
Journal of Systems and Software
A similarity-based leaf image retrieval scheme: Joining shape and venation features
Computer Vision and Image Understanding
Implementation of an Aquatic Plant Information Bank
FBIT '07 Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies
Species identification: fish images with CBIR and annotations
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Evaluation of shape similarity measurement methods for spine X-ray images
Journal of Visual Communication and Image Representation
A venation-based leaf image classification scheme
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
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Digital photography and decreasing cost of storing data in digital form has led to an explosion of large digital image repositories. Since the number of images in image databases can be large (millions in some cases) it is important to develop automated tools to search them. In this paper, we present a content based image retrieval system for a database of parasite specimen images. Unlike most content based image retrieval systems, where the database consists of objects that vary widely in shape and size, the objects in our database are fairly uniform. These objects are characterized by flexible body shapes, but with fairly rigid ends. We define such shapes to be FleBoRE (Flexible Body Rigid Extremities) objects, and present a shape model for this class of objects. We have defined similarity functions to compute the degree of likeness between two FleBoRE objects and developed automated methods to extract them from specimen images. The system has been tested with a collection of parasite images from the Harold W. Manter Laboratory for Parasitology. Empirical and expert-based evaluations show that query by shape approach is effective in retrieving specimens of the same class.