The article presents an analysis of a non-standard approach to the segmentation textural areas in aerospace images. question applicability sets features for experimental data is being investigated identify characteristic on images that future it will be possible types crops, weeds, diseases, and pests. selection suitable algorithms was carried out appropriate software tools were created Matlab ...

Face recognition is one of a complex biometrics in the field of pattern recognition due to the constraints imposed by variation in the appearance of facial images. These changes in appearance are affected by variation in illumination, expression or occlusions etc. Illumination can be considered a complex problem in both indoor and outdoor pattern matching. Literature studies have revealed that ...

This paper describes a new approach to the segmentation of textured gray-scale images based on image pre-"ltering and fractal features. Traditionally, "lter bank decomposition methods consider the energy in each band as the textural feature, a parameter that is highly dependent on image intensity. In this paper, we use fractal-based features which depend more on textural characteristics and not...

A classification strategy which does not require a priori assumptions about the statistical distribution of training pixels in each class is proposed. This method uses an indicator kriging approach in feature space to classify remotely sensed images incorporating both spectral and textural information of bands. Texture information is used only in cases where spectral information is not sufficie...

A fundamental component of computer-based video image analysis for pavement distress evaluation is identification of the type of distress from geometric and textural properties of an area of interest identified during image analysis. This study describes the algorithms used to identi_fy and classify the most common pavement distress types once a possible distress region is identified on an imag...

Biometric signature verification, nowadays an important technique to recognize human identity. The accuracy of signature verification has lot of scope for improvement. In this paper, we propose an offline signature verification using fusion of Directional and Textural features. The Image is preprocessed and divided into sub-bands by applying DWT. The Directional featuresGradient, Coherence, Ori...