Robust computer vision system for marbling meat segmentation

Robust Computer Vision ROBUST COMPUTER VISION Theory and Applications

non-real) objects: Plane geometric forms, solid geometric forms, and projected forms. The first class is the “real" class consisting of objects from the real world. The second class are representations of real objects. The third class are abstractions that can be represented using symbols but do not correspond to real objects (because they have no corresponding stimulus in the real world). Marr...

Robust Computer Vision for Computer Mediated Communication

In Computer Mediated Communication, static video cameras provide a restricted field of view of remote sites. The concept of virtual window has been introduced to alleviate this problem. Although this technique is interactionally attractive, early implementations have proved unsatisfactory because of lack of robustness. In this paper, we demonstrate that robustness and accuracy can be increased ...

Robust Techniques for Computer Vision

Image Segmentation for Food Quality Evaluation Using Computer Vision System

Quality evaluation is an important factor in food processing industries using the computer vision system where human inspection systems provide high variability. In many countries food processing industries aims at producing defect free food materials to the consumers. Human evaluation techniques suffer from high labour costs, inconsistency and variability. Thus this paper provides various step...

Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...