Local Diagonal Extrema Pattern A New and Efficient Feature Descriptor for CT Image Retrieval - 2015


The medical image retrieval plays an vital role in medical diagnosis where a physician can retrieve most similar pictures from template images against a query image of a particular patient. During this letter, a brand new and efficient image features descriptor based mostly on the local diagonal extrema pattern (LDEP) is proposed for CT image retrieval. The proposed approach finds the values and indexes of the native diagonal extremas to exploit the relationship among the diagonal neighbors of any center pixel of the image using initial-order native diagonal derivatives. The intensity values of the native diagonal extremas are compared with the intensity value of the middle pixel to utilize the relationship of central pixel with its neighbors. Finally, the descriptor is formed on the premise of the indexes and comparison of center pixel and native diagonal extremas. The consideration of solely diagonal neighbors greatly reduces the dimension of the feature vector which hurries up the image retrieval task and solves the “Curse of dimensionality” problem conjointly. The LDEP is tested for CT image retrieval over Emphysema-CT and NEMA-CT databases and compared with the prevailing approaches. The superiority in terms of performance and efficiency in terms of speedup of the proposed methodology are confirmed by the experiments.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding - 2018ABSTRACT:Feature extraction may be a terribly vital step for polarimetric artificial aperture radar (PolSAR) image
PROJECT TITLE :Fast Image Super-Resolution via Local Adaptive Gradient Field Sharpening Transform - 2018ABSTRACT:This Project proposes a single-image super-resolution theme by introducing a gradient field sharpening rework that
PROJECT TITLE :Multi-Label Learning with Global and Local Label Correlation - 2018ABSTRACT:It is well-known that exploiting label correlations is vital to multi-label learning. Existing approaches either assume that the label
PROJECT TITLE :Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering - 2017ABSTRACT:Underwater optical cameras are widely used for security monitoring in ocean, like earthquake prediction
PROJECT TITLE :High-Order Local Pooling And Encoding Gaussians Over A Dictionary Of Gaussians. - 2017ABSTRACT:Native pooling (LP) in configuration (feature) space proposed by Boureau et al. explicitly restricts similar features

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry