The process of analysis of such images is important in order to improve quantify medical imaging systems. It is significant to analysis the dental x-ray images we need features of image. In this paper we present a method for segmentation and feature extraction of dental x-ray images. The proposed method has been implemented by using level-set method for segmentation after image enhancement and ...

Identification of deceased individuals based on dental characteristics is receiving increased attention. Dental radiographic films of an individual are usually composed into a digital image record. In order to achieve high level of automation in postmortem identification, it is necessary to decompose dental image records into their constituent radiographic films, which are in turn segmented to ...

Dental X-ray image segmentation (DXIS) is an necessary process in Practical dentistry for diagnosis of periodontitis diseases from an X ray image. Thus, DXIS is one of the most important and necessary steps to analyse dental images. It helps to get worthy information for medical diagnosis support systems and other recognition tools. DXIS helps to get high accuracy of segmentation. In this paper...

potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...

Forensic dentistry involves the identification of people based on their dental recorded mainly available as radiograph images. An automated dental identification system consists of two main groups: Feature Extraction and Feature Matching. Here we are present new tool for human identification based on dental information and some image processing algorithm. In this paper, first we applied the ISE...

We present a web-based environment for the Automated Dental Identification System (ADIS). This system is designed for identification missing, unidentified and wanted persons based on dental characteristics. The web-based environment of ADIS allows users to browse through different databases from remote locations, to digitally process query dental images in order to extract the distinctive featu...

The image content detectability and image structure preservation are closely related concepts with undeniable role in image quality assessment. However, the most attention of image quality studies has been paid to image structure evaluation, few of them focused on image content detectability. Examining the image structure was firstly introduced and assessed in Structural SIMilarity (SSIM) measu...

Teeth are one of the most important and popular biometric characteristic used in Forensic Dentistry. The development of automatic or semiautomatic, robust and precise forensic human identification systems are crucial for forensic, principally in mass disasters, like tsunamis and airplanes crashes. In this work we propose the use of the Differential Image Foresting Transform (DIFT) to extract th...

Checking the consistency of image databases is not a completely solved problem. To decide if an image has already been inserted into the database can only be checked by actually looking through the images, or using the textual descriptive keywords attached to the database items. Both the visual checking and the keyword search in a large image database may result in errors. Several methods of co...