Content-Based Image/Video Retrieval Systems combine perceptual features such as color, texture and shape with semantic concepts for improving the quality of the query's results. In this paper, a retrieval technique combining color and texture with keywords is presented. A colorbased method and conjunction with a mining association rules technique are used to propagate labels from a subset of an...

Food classification from images is a fine-grained classification problem. Manual curation of food images is cost, time and scalability prohibitive. On the other hand, web data is available freely but contains noise. In this paper, we address the problem of classifying food images with minimal data curation. We also tackle a key problems with food images from the web where they often have multip...

Up to now, many algorithms have been introduced for computing reconstruction in grayscale images. But the execution time is required by the known grayscale reconstruction algorithms make their practical use rather cumbersome on conventional computers. A new algorithm is introduced to bridge this gap and reconstruct the image in better way. This is based on the notion of regional maxima, regiona...

One major disadvantage of multispectral imaging is the amount of data that needs to be stored for each multispectral image. In the past, several authors have proposed compression schemes to overcome this disadvantage. Most of these papers dealt with compression either in the spectral or in the spatial realm only, although some authors proposed to divide the data into luminance and color compone...

This study aims at building photorealistic 3D models of realworld objects. We discuss the problem of combining a 3D textureless model obtained by 3D scanner, with optical images that provide textural information of the object. Recently, we have proposed a novel method to register an uncalibrated image pair to a 3D surface model. After registration, the images are mapped to the surface. However,...

Breast cancer has been one of the main diseases that threatens women's life. Early detection and diagnosis of breast cancer play an important role in reducing mortality of breast cancer. In this paper, we propose a selective ensemble method integrated with the KNN, SVM, and Naive Bayes to diagnose the breast cancer combining ultrasound images with mammography images. Our experimental results ha...

Improving the detection efficiency and maintenance benefits is one of greatest challenges in road testing maintenance. To address this problem, paper presents a method for combining you only look once (YOLO) series with 3D ground-penetrating radar (GPR) images to recognize internal defects asphalt pavement compares effectiveness traditional GPR by evaluating benefits. First, conducted survey su...

Diffusion MRI is a modern neuroimaging modality with unique ability to acquire microstructural information by measuring water self-diffusion at the voxel level. However, it generates huge amounts of data, resulting from large number repeated 3D scans. Each volume samples location in q-space, indicating direction and strength diffusion sensitizing gradient during measurement. This captures detai...