Image Classification
7,765 Followers
Recent papers in Image Classification
Automated blood vessel segmentation is an important issue for assessing retinal abnormalities and diagnoses of many diseases. The segmentation of vessels is complicated by huge variations in local contrast, particularly in case of the... more
This paper addresses the problem of automatic classification of fish species, by using image analysis techniques and artificial immune systems. Unlike most common methodologies, which are based on manual estimations that lead to... more
In Low and Middle-Income Countries (LMICs), efforts to eliminate the Tuberculosis (TB) epidemic are challenged by the persistent social inequalities in health, the limited number of local healthcare professionals, and the weak healthcare... more
Timber knots recognition is of prime importance to further determine the timber grade. The recognition is normally based on the human expert's eyes in which can lead to some flaws based on human limitations and weaknesses. The use of... more
This paper describes an integrated M M W radar and vision sensor system for autonomous on-mad navigation. The radar sensor has a range of approximately 200 metres and uses a linear array of receivers and wavefmnt reconstruction techniques... more
This work describes a new approach for the computation of 3D Fourier descriptors, which are used for characterization, classification, and recognition of 3D objects. The method starts with a polygonized surface which is mapped onto a unit... more
Accurate image classification is crucial in many robotics and surveillance applications -for example, a vision system on a robot needs to accurately recognize the objects seen by its camera. Object recognition systems typically need a... more
The study of frog is important since the chemical compound in their skin extracts peptides with antimicrobial activity becomes a valuable tool for pharmacology and biochemistry research. Instead of depending on physically observation... more
Data reduction procedures and classification via support vector machines (SVMs) are often associated with multi or hyperspectral image analysis. In this paper, we propose an automatic method with these two schemes in order to perform a... more
Malaria remains one of the greatest killers of human beings, particularly in the developing world. The World Health Organization has estimated that over one million cases of Malaria are reported each year, with more than 80% of these... more
This paper consists of development of detection strategies for face recognition tasks and to access its feasibility for forensic analysis using the FERET face database Author has used global feature extraction technique using statistical... more
This paper presents the effectiveness of perceptual features and iterative classification approach for offline Arabic word images classification. Optimum word image feature extraction is the system which can obtain the minimum feature... more
AbstractÐThe problem of screening images of the skies to determine whether or not aircraft are present is of both theoretical and practical interest. After the most prominent signal in an infrared image of the sky is extracted, the... more
Optical character recognition is perhaps the most studied application of pattern recognition. Recent work has increased accuracy in two ways. Combination of individual classifier outputs overcomes deficiencies of features and trainability... more
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant parameters are automatically set to zero. Two well-known ways of... more
‡ This work was partially suported by ISA/DGOT/JNICT contract 28/94. Abstract: A new classification method which permits the integration of expert knowledge in satellite image classification is presented. This approach differs from other... more
Breast Cancer is one of the significant reasons for death among ladies. Many research has been done on the diagnosis and detection of breast cancer using various image processing and classification techniques. Nonetheless, the disease... more
The classification of LiDAR point cloud is a key but difficult step for 3D reconstruction of architecture. The main classification methods are clustering-based and objectoriented. The support vector machine is an effective tactic which... more
Recycling is widely assumed to be environmentally beneficial, although the collection, sorting and processing of materials gives rise to some environmental impacts and energy use. Previously, plastic recycling are based on the material... more
The main steps of document processing have been reviewed, especially those implemented on Arabic writing. The techniques used in this research, such as Vector Quantization (VQ), Hidden Markov Models (HMM), and Induction of Decision Trees... more
New sensors and new technologies for remotely sensed data acquisition have proven useful for mapping urban environments. In this paper, a new dataset from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)... more
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we investigate the discriminative power of colour-based invariants in the presence of large illumination... more
Classification has emerged as a leading technique for problem solution and optimization. Classification has been used extensively in several problems domains. Automated gender classification is an area of great significance and has great... more
The conventional histogram intersection (HI) algorithm computes the intersected section of the corresponding color histograms in order to measure the matching rate between two color images. Since this algorithm is strictly based on the... more
The introduction of airbags into automobiles has significantly improved the safety of the occupants. Unfortunately, airbags can also cause fatal injuries if the occupant is a child smaller (in weight) than a typical six-year-old. Between... more
Abstract: We introduce a new classification method that is applicable to classify image pixels. This work was motivated by the test-based classification (TBC) introduced by Liao and Akritas (2007). We found that direct application of TBC... more
Mapping the cover of invasive species using remotely sensed data alone is challenging, because many invaders occur as mid-level canopy species or as subtle understorey species and therefore contribute little to the spectral signatures... more
This paper presents part of the work aiming at building a tool for the detection of graphomotor difficulties involving disorders in the writing of children. We have defined an experimental protocol, containing exercises such as copying... more
We present a fully automatic method to detect doctored digital images. Our method is based on a rigorous consistency checking principle of physical characteristics among different arbitrarily shaped image regions. In this paper, we... more
The classification accuracy statement is the basis of the evaluation of a classification's fitness for purpose. Accuracy statements are also used for applications such as the evaluation of classifiers, with attention focused especially on... more
The problem of classifying complex motor activities from brain imaging is relatively new territory within the fields of neuroscience and brain-computer interfaces. We report positive sign language classification results using a tournament... more
The various applications have been promised by the new generation of the spacecraft SAR data (i.e. Radarsat2 and TerraSAR-X), as the classification, the decomposition, and the modelling of the polarimetric synthetic aperture radar (SAR)... more
This paper presents an on-line calibration method of the absolute extrinsic parameters of a stereovision system suited for vision based vehicle applications. The method uses as prior knowledge the intrinsic parameters and the relative... more
For many decades automatic facial expression recognition has scientifically been considered a real challenging problem in the fields of pattern recognition or robotic vision. The current research aims at proposing Relevance Vector... more
Recent work on extracting features of gaps in handwritten text allows a classification into inter-word and intraword classes using suitable classification techniques. In this paper, we apply 5 different supervised classification... more
E xtracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and... more
This paper addresses the problem of land-cover map updating by classification of multitemporal remote-sensing images in the context of domain adaptation (DA). The basic assumptions behind the proposed approach are twofold. The first one... more
Statistical learning theory explores ways of estimating functional dependency from a given collection of data. The specific sub-area of supervised statistical learning covers important models like Perceptron, Support Vector Machines (SVM)... more
Object classification often operates by making decisions based on the values of several shape properties measured from the image. This paper describes and tests several algorithms for calculating ellipticity, rectangularity, and... more