In spatial reasoning, in particular for applications in image understanding, structure recognition and computer vision, a lot of attention has to be paid to spatial relationships and to the imprecision attached to information and knowledge to be handled. Two main components are knowledge representation and reasoning. We show in this paper that the fuzzy set framework associated to the formalism...

Observing the evolution of a pathology in medical images, or of soil occupation in remote sensing, detecting changes in video sequences, updating a spatial information system are examples that can all benefit from quantification and comparison of spatial relations between objects in the observed scenes. In this paper, we propose two approaches to compare spatial relations represented as fuzzy s...

Evaluation of scoliosis is performed traditionally by means of standing posterior-anterior radiographs of the full spine to assess lateral curvature with the Cobb method. In this paper, we present a new automatic algorithm to measure Cobb angle by using nuclear medicine whole body bone scan images. Our algorithm design is based on the fuzzy sets histogram thresholding, anatomical knowledge-base...

For photographs taken in outdoor environments, the air medium causes light attenuation, which reduces image quality; this effect is particularly obvious in hazy environments. To eliminate the hazy effect in images and improve the image quality, the present study proposes an efficient hybrid method. The proposed fuzzy estimator was adopted to estimate variations in light attenuation, and morphol...

In this paper, we deal with the problem of document image rectification from image captured by digital cameras. The improvement on the resolution of digital camera sensors has brought more and more applications for non-contact text capture. Unfortunately, perspective distortion in the resulting image makes it hard to properly identify the contents of the captured text using traditional optical ...

The unity of body and mind is an important concept in Chinese philosophy. Traditionally, the concept is informal and fuzzy, with no well defined meaning in the mathematical sense. This paper proposes a formal information-theoretical model for neural signal processing, arguing that physical principles are neural phenomena. For example, using the proposed model, the paper shows that time-dilation...

Segmentation of images holds an important position in the area of image processing. It becomes more important whi le typically dealing with medical images where presurgery and post surgery decisions are required for the purpose of initiating and speeding up the recovery process. Segmentation of 3-D tumor structures from magnetic resonance images (MRI) is a very challenging problem due to the va...

This paper describes a simple (yet powerful) methodology for decision making based on fuzzy sets. In an example to demonstrate the methodology we show how to determine a preferential grain crop for given conditions and grower circumstances. The paper proposes a multi-level fuzzy evaluation function 4, 6] which will totally order a number of crop alternatives. The model can be used to consider v...