Journal ArticleDOI
Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval
TLDR
A new image indexing and retrieval algorithm using local mesh patterns are proposed for biomedical image retrieval application that shows a significant improvement in terms of their evaluation measures as compared to LBP, LBP with Gabor transform, and other spatial and transform domain methods.Abstract:
In this paper, a new image indexing and retrieval algorithm using local mesh patterns are proposed for biomedical image retrieval application. The standard local binary pattern encodes the relationship between the referenced pixel and its surrounding neighbors, whereas the proposed method encodes the relationship among the surrounding neighbors for a given referenced pixel in an image. The possible relationships among the surrounding neighbors are depending on the number of neighbors, P. In addition, the effectiveness of our algorithm is confirmed by combining it with the Gabor transform. To prove the effectiveness of our algorithm, three experiments have been carried out on three different biomedical image databases. Out of which two are meant for computer tomography (CT) and one for magnetic resonance (MR) image retrieval. It is further mentioned that the database considered for three experiments are OASIS-MRI database, NEMA-CT database, and VIA/I-ELCAP database which includes region of interest CT images. The results after being investigated show a significant improvement in terms of their evaluation measures as compared to LBP, LBP with Gabor transform, and other spatial and transform domain methods.read more
Citations
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Proceedings ArticleDOI
Transfer Learning for Image Classification
Manali Shaha,Meenakshi Pawar +1 more
TL;DR: Transfer learning is used to fine-tune the pre-trained network (VGG19) parameters for image classification task and performance analysis shows that fine-tuned VGG19 architecture outperforms the other CNN and hybrid learning approach for image Classification task.
Journal ArticleDOI
Local Wavelet Pattern: A New Feature Descriptor for Image Retrieval in Medical CT Databases
TL;DR: The proposed LWP descriptor is compared with the other state-of-the-art local image descriptors, and the experimental results suggest that the proposed method outperforms other methods for CT image retrieval.
Journal ArticleDOI
Local Diagonal Extrema Pattern: A New and Efficient Feature Descriptor for CT Image Retrieval
TL;DR: A new and efficient image features descriptor based on the local diagonal extrema pattern (LDEP) is proposed for CT image retrieval which speeds up the image retrieval task and solves the “Curse of dimensionality” problem also.
Journal ArticleDOI
Local Bit-Plane Decoded Pattern: A Novel Feature Descriptor for Biomedical Image Retrieval
TL;DR: The experimental results confirm the discriminative ability and the efficiency of the proposed LBDP for biomedical image indexing and retrieval and prove the outperformance of existing biomedical image retrieval approaches.
Journal ArticleDOI
Local tri-directional patterns
TL;DR: The effectiveness of the proposed method is proven by comparing it with existing algorithms for image retrieval application and a new feature descriptor called local tri-directional pattern has been proposed.
References
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Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
Xiaoyang Tan,Bill Triggs +1 more
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