Detector of Interest Point within Region of Interest on NBI Endoscopy Images
نویسندگان
چکیده
This paper presents a new method for detecting scale invariant interest point from region of interest on NBI endoscopy images. This work is related to design of decision support systems in the area of gastrointestinal endoscopy with image classication facility. The use of a computer-based system could support the doctor when making a diagnosis and help to avoid human subjectivity. Our method is based on computing a skeletons of gastric mucosa pit-patterns. As a result of applying the proposed approach to improve the accuracy of a selection of distinctive points, this allow a selection region of interest for endoscopy images in real time. These points are invariant to scale, rotation and translation as well as robust to illumination changes and limited changes of viewpoint.
منابع مشابه
Interest Points Detection in Color Images
This paper presents a new interest point detector for color images. It is based on a non linear filtering of the image which preserves edges, and on the use of a color point detector based on the Harris detector. We present how does interest points detectors work to justify the use of this filtering. We compare it with the Harris detector under the criteria of repeatibility, information content...
متن کاملMedical Image Compression Based on Region of Interest
Medical images show a great interest since it is needed in various medical applications. In order to decrease the size of medical images which are needed to be transmitted in a faster way; Region of Interest (ROI) and hybrid lossless compression techniques are applied on medical images to be compressed without losing important data. In this paper, a proposed model will be presented and assessed...
متن کاملTowards an Optimal Interest Point Detector for Measurements in Ultrasound Images
This paper focuses on the comparison of different interest point detectors and their utilization for measurements in ultrasound (US) images. Certain medical examinations are based on speckle tracking which strongly relies on features that can be reliably tracked frame to frame. Only significant features (interest points) resistant to noise and brightness changes within US images are suitable fo...
متن کاملObject Recognition based on Local Steering Kernel and SVM
The proposed method is to recognize objects based on application of Local Steering Kernels (LSK) as Descriptors to the image patches. In order to represent the local properties of the images, patch is to be extracted where the variations occur in an image. To find the interest point, Wavelet based Salient Point detector is used. Local Steering Kernel is then applied to the resultant pixels, in ...
متن کاملOptimization of Gate’s technique for measurement of GFR during routine renal scan [Persian]
Using Gate’s technique for GFR measurement with Gamma camera, the patient is received 5mCi of Tc-99m-DTPA. By this amount of radioactivity, good quality renal scan is not possible. This study tries to optimize Gate’s technique for GFR measurement during routine renal scan (with 10-15 mCi). Methods and materials: Scanning was performed for 60 seconds from samples of Tc-99m with activities ...
متن کامل