Sajad Mohamadzadeh

• PhD
• Professor (Assistant) at University of Birjand

In the field of computer vision, semantic segmentation has become an important problem that has applications in fields such as autonomous driving and robotics. Image segmentation datasets, on the other hand, present substantial hurdles due to the high intra-class variability, which includes differences across car models or building designs, and the...

This paper presents a novel method for improving semantic segmentation performance in computer vision tasks. Our approach utilizes an enhanced UNet architecture that leverages an improved ResNet50 backbone. We replace the last layer of ResNet50 with deformable convolution to enhance feature representation. Additionally, we incorporate an attention...

Automatic image annotation systems are employed to describe the visual content of images via tag assignment. Most of these image description systems use deep convolutional neural networks as feature extractors or multi-label classification systems. However, the majority of these systems do not optimally employ latent variables and image concepts wi...

Due to the rapid increase of using surveillance cameras, it has become more important to re-identify persons on different non-overlapped cameras. Person re-identification is an important and challenging topic on machine vision and media processing. Few data for training, low quality of surveillance videos and varying position of persons among diffe...

Automatic image captioning systems assign one or more sentences to images to describe their visual content. Most of these systems use attention‐based deep convolutional neural networks and recurrent neural networks (CNN‐RNN‐Att). However, they must optimally use latent variables and side information within the image concepts. This study aims to int...

Vehicle detection is still a challenge in object detection. Although there are many related research achievements, there is still a room for improvement. In this context, this paper presents a method that utilizes the ResUNet-a architecture – that is characterized by its high accuracy - to extract features for improved vehicle detection performance...

Detecting same people in different surveillance cameras, named person re-identification, has become a challenging and critical task in image processing. Since surveillance images usually have low resolution and different viewpoints, matching persons on them is still difficult. In this paper, a proposed method for person re-identification is introdu...

Parkinson’s disease is one of the most destructive diseases of the nervous system, affecting sound faster and more than any other subsystem of the body. Over the past decade, researchers have studied Parkinson’s disease by analyzing audio signals. It is a low-cost method that eliminates the need for the patient to be physically present at the clini...

Background: Pathological analysis plays an important role in the diagnosis, prediction and planning of cancer treatment. Using digital pathology, ie, scanning and storing digital parts of patient tissue, tools for analyzing these complex images now can be developed. Doctors use a computer diagnostic system from an intelligent assistant to accuratel...

In many applications in order to recognise the relationship between user and computer, the position at which the user looks should be detected. To this end, a salient object should be extracted that is attracted to the attention of the viewer. In this study, a new method is proposed to extract the object saliency map, which is based on learning aut...

As stored data and images on memory disks increase, image retrieval has a necessary task on image processing. Although lots of researches have been reported for this task so far, semantic gap between low level features of images and human concept is still an important challenge on content-based image retrieval. For this task, a robust method is pro...

In the last decade, eye gaze detection system has been known as one of the most important area activities in image processing and computer vision. The performance of eye gaze detection system is related to iris detection and recognition (IR). Iris recognition plays very important role for person identification. The aim of this paper is to achieve h...

The aim of image restoration is to obtain a higher quality desired image from a degraded image. In this strategy, an image inpainting method fills the degraded or lost area of the image by appropriate information. This is performed in such a way so that the obtained image is undistinguishable for a casual person who is unfamiliar with the original...

Normally, the-state-of-the-art methods in field of object retrieval for large databases are achieved by training process. We propose a novel large-scale generic object retrieval which only uses a single query image and training-free. Current object retrieval methods require a part of image database for training to construct the classifier. This tra...

Video retrieval has recently attracted a lot of research attention due to the exponential growth of video datasets and the internet. Content based video retrieval (CBVR) systems are very useful for a wide range of applications with several type of data such as visual, audio and metadata. In this paper, we are only using the visual information from...

Traditionally, object retrieval methods require a set of images of a specific object for training. In this paper, we propose a new object retrieval method using a single query image, without training, for a global object. The query image could be a typical real image of the object. The object is constructed based on Speeded Up Robust Features (SURF...

The aim of image retrieval systems is to automatically assess, retrieve and represent relative images-based user demand. However, the accuracy and speed of image retrieval are still an interesting topic of many researches. In this study, a new method based on sparse representation and iterative discrete wavelet transform has been proposed. To evalu...

Image fusion is a process in which different images recorded by several sensors from one scene are combined to provide a final image with higher quality compared to each individual input image. In fact, combination of different images recorded by different sensors is one of image fusion methods. The fusion is performed based on maintaining useful f...

Image retrieval is one of the most applicable image processing techniques which have been extensively used. Feature extraction is one of the most important procedures used for interpretation and indexing images in Content-Based Image Retrieval (CBIR) systems. Effective storage, indexing and managing a large number of image collections are critical...

Image retrieval is one of the most applicable image processing techniques, which has been used extensively. Feature extraction is one of the most important procedures used for interpretation and indexing images in content-based image retrieval systems. Effective storage, indexing and managing a large number of image collections is a critical challe...

Due to low complexity, power and bandwidth saving Distance Vector Routing is the most popular dynamic routing protocol which is using in many networks such as ad hoc networks. However, this protocol has a serious drawback in practice called Count To Infinity problem or slow convergence. There are many proposed solutions in literature to solve the p...