An automatic feature extraction technique from the images of granular parakeratosis disease

Automatic Feature Extraction from Ocular Images

Ocular images processing is an important task in: i) biometrics system based on retina and/or sclera images, and ii) in clinical ophthalmology diagnosis of diseases like various vascular disorders. We presents a general framework for image processing of ocular images with a particular view on feature extraction. The method uses the set of geometrical and texture features and based on the inform...

Automatic Feature Extraction from Planetary Images

With the launch of several planetary missions in the last decade, a large amount of planetary images has already been acquired and much more will be available for analysis in the coming years. The image data need to be analyzed, preferably by automatic processing techniques because of the huge amount of data. Although many automatic feature extraction methods have been proposed and utilized for...

[Granular parakeratosis: disease or reactive response?].

Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks

This paper presents a new automatic feature extraction technique and a neural network based classification method for recognition of rotating images. The image processing technique extracts global features of an image and converts a large size image into a one-dimensional small vector. A special advantage of the proposed technique is that the extracted features are the same even if the original...

Automatic Feature Extraction from 3D Range Images of Skulls

The extraction of a representative set of features has always been a challenging research topic in image analysis. This interest is even more important when dealing with 3D images. The huge size of these datasets together with the complexity of the tasks where they are needed demand new approaches to the feature extraction problem. The need of an automatic procedure is specially important in ma...