Search Results

As urbanization and population density increase, waste management faces significant challenges due to the growing volume of daily trash, which highlights deficiencies in traditional approaches that struggle with collection, sorting, recycling, and ...

In order to carry out digital protection and inheritance of Long embroidery, five classical stitches in Long embroidery are selected and the image data set for learning and training is established. The improved detection network model SIFT-E is built by ...

Millions of people who have trouble hearing rely heavily on sign language as their primary means of communication. As a form of visual language, sign language is primarily used as features by the deaf and hard of hearing to communicate with one ...

Detecting and identifying manipulated portions within images poses a formidable challenge in research. Manipulated images, often created using image editing software such as Picasa or Photoshop, serve to obscure information and intentionally ...

• We analysed over 350 references from all well-famed databases.
• We provided a ...

Integrating artificial intelligence with food category recognition has been a field of interest for research for the past few decades. It is potentially one of the next steps in revolutionizing human interaction with food. The modern ...

Image processing algorithms on FPGAs have increasingly become more pervasive in real-time vision applications. Such algorithms are computationally complex and memory intensive, which can be severely limited by available hardware resources. ...

Multiple source images acquired from diverse sensors mounted on unmanned aerial vehicles (UAVs) offer valuable complementary information for ground vegetation analysis. However, accurately aligning heterogeneous UAV images poses challenges due to ...

Medical images rather than any other types of images need high storage space. The lack of storage facilities, especially in developing countries, encourages researchers to find solutions for this problem. Compression of medical images is a ...

• The proposed method significantly improves the efficiency of matching oblique images of large scenes.

In this paper, we design an efficient large-scale oblique image matching method. First, to reduce the number of redundant transmissions of match data, we propose a novel three-level buffer data scheduling (TLBDS) algorithm that ...

This paper presents two efficient frameworks for seizure detection and prediction that depend on statistical analysis. The common thread between them is the selection of certain attributes extracted from the electroencephalography (EEG) signals ...

Infrared thermal imaging is widely used in industrial inspection due to its advantages such as passive identification, non-contact detection, long detection distance and strong environmental adaptability. In power systems, infrared thermal imaging can ...

Mobile robot navigation tasks can be applied in various domains, such as in space, underwater, and transportation industries, among others. In navigation, robots analyze their environment from sensors and navigate safely up to target points by avoiding ...

Multispectral (MS) sensors are mostly of low resolution (LR) and fail to give promising results in remote-sensing applications. In the recovery of edge information from LR images, the sparse representation-based single image super-resolution (SISR)...

Digital image forgeries become one of the most challenges faced by technology users today. A copy-move forgery is one of the most common types of these forgeries. This type is not only common, but it is also very simple to execute to create ...

Image processing is a key research area in computer vision that recognizes images and assigns labels to the extracted features. This new paradigm has recently received significant attention in biometric features that aid in the identification of ...

This paper presents a robust perceptual hashing scheme for biometric template protection where the input fingerprint image is mapped into a sequence of Boolean values. Our aim is to develop a method that relies on the use of four functions namely SIFT, ...

Early detection of breast cancer increases the chances of survival considerably. Computer aided detection (CAD) systems are assistive tools which can render cost-effective, quick and objective decision making. The proposed work addresses the development ...

Emotion recognition technology is a form of face detection and recognition that takes an aid of facial expressions and biophysical signs and symptoms like pulse rate and activations in the brain to actually know about an individual state. Image-...

Convolutional neural networks (CNNs) have attracted increasing attention in recent years because of their powerful abilities to extract and represent spatial/temporal information. However, for general data, its features are assumed to ...

• CNN design based on the novel data representation method leads to preferred classifier.

A novel colour texture extraction method called modified local zigzag pattern (MLZP) is suggested to efficaciously retrieve the content from diseased tomato leaf images. The presented descriptor is simple, yet a vigorous rotational invariant ...