Quantitative examination of prostate histology offers clues in the diagnostic classification of lesions and in the prediction of response to treatment and prognosis. To facilitate the collection of quantitative data, the development of machine vision systems is necessary. This study explored the use of imaging for identifying tissue abnormalities in prostate histology. Medium-power histological...

This work aims to explore the robot automatic navigation model under computer intelligent algorithms and machine vision, so that mobile robots can better serve all walks of life. In view current situation high cost poor flexibility robots, this innovatively researches improves image processing algorithm control algorithm. line edge detection stage, aiming at low efficiency traditional ant colon...

this paper focuses on multi-objective designing of multi-machine thyristor controlled series compensator (tcsc) using strength pareto evolutionary algorithm (spea). the tcsc parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a spea ...

In order to improve the quality of sheep foreground object segmentation, images are segmented using watershed algorithm in combination with a growing region algorithm, and pixel-by-pixel comparison segmentation is optimized reduce processing time. Compared other algorithms, can achieve more complete target extraction, its time improved by over 50% compared six algorithms. Moreover, has optimal ...

the estimation of metallurgical parameters of flotation process from froth visual features is the ultimate goal of a machine vision based control system. in this study, a batch flotation system was operated under different process conditions and metallurgical parameters and froth image data were determined simultaneously. algorithms have been developed for measuring textural and physical froth ...

In this chapter we describe an ongoing project designed to investigate gaze control in face perception, a problem of central importance in both human and machine vision. The project uses converging evidence from behavioral studies of human observers and computational studies in machine vision. The research is guided by a formal framework for understanding gaze control based on Markov decision p...

Automatic facial expression recognition has gained much attention during the last decade because of its potential application in areas such as more engaging human-computer interfaces. Automatic facial expression recognition is a sub-area of face analysis research that is based heavily on methods of computer vision, machine learning, and image processing. Many efforts either to create a novel or...