Web Based Medical Image Retrieval System Using Fuzzy Connectedness Image Segmentation and Geometric Moments

Abstract

Medical image database is growing day by day. There are various categories of medical images such as CT scan, X-Ray, Ultrasound, Pathology, MRI, Microscopy, etc [1].Physicians compare previous and current medical images associated with patients to provide right treatment. Medical Imaging is playing a leading role in modern diagnosis. Efficient image retrieval tools are needed to retrieve the intended images from large growing medical image databases. Such tools must provide more precise retrieval results with less computational complexity. This paper proposed fuzzy connectedness image segmentation for medical image retrieval in Oracle using digital imaging and communications in medicine (DICOM) format. Paper includes the comparison of image retrieval techniques with the proposed fuzzy connectedness image segmentation combined with geometric moment. Paper also gives the implementation details of proposed algorithm in Oracle. For the analysis purpose we have implemented feature extraction methods for color, texture and shape based feature extraction. These methods are compared with the proposed algorithm.

PET medical image retrieval using fuzzy connectedness image segmentation and geometric moments

“…Computer Aided Diagnostic (CAD) systems [15]- [24] use images in the DICOM format, where an image header may contain some necessary information, such as modality, body part examined, patient information, etc. On the other hand, online medical images are generally stored and accessed in common file formats (e.g., JPEG, TIFF, PNG, etc.).…”

“…The implementation of web based system for medical image retrieval using Oracle Multimedia features is given in [20], [24]. The system uses Digital Imaging and Communications in Medicine (DICOM) image file format, which contains additional information regarding image modality, acquisition device and patient identification in its header along with raw image data.…”

“…The system uses Digital Imaging and Communications in Medicine (DICOM) image file format, which contains additional information regarding image modality, acquisition device and patient identification in its header along with raw image data. [20], [24]. PACS are used in many hospitals, which are basically computer networks for storage, distribution and retrieval of medical image data.…”

Medical Image Segmentation using Penalized FCM and Pollination based Optimization Approach

“…The watershed algorithm is more representative in the application of mathematical morphology theory for image segmentation. Watershed algorithm is a region based segmentation techniques image that uses image morphology [2]. Watershed algorithm is an iterative adaptive threshold algorithm.…”

“…A run of the mill way to division utilizing edges is (1) figure an edge picture, containing all(plausible) edges of an unique picture, (2) process the edge picture so just shut item limits remain, and (3) change the outcome to a standard sectioned picture by filling in the article limits. The edge location step (1) has been examined.…”