Eusebio de la Fuente López

LWDOS: language for writing descriptors of outline shapes

A new method to obtain a rough description of a 3-D object from its outline shape is presented in this paper. Firstly the outline shape is split up into parts that are related in a connectivity graph. The boundary features of every part (lines, curves) and the information about its junction with other parts are extracted in order to provide a semantic content to the outline shape graph. A specific language to describe this graph has been developed. Finally, some results obtained applying our approach over real images are presented and discussed.

Visually guided robot for radiator sealing

A robotic vision-guided system that permits to manipulate different mixed parts is described in this paper. In order to work on a wide range of sizes and without stopping the products the industrial robot is equipped with two vision systems. A fixed vision system acquires a global image of the approaching radiators and computes a first pose estimation. This estimation is used for the robot to approach to the part and a second system, mounted on the robot arm, acquires a closer image to determine precisely the position and orientation just before the manipulation is performed. The developed system is working nowadays in an industrial line making it possible to robotize a complex task without using costly and inflexible fixtures.

Inspection of Stamped Sheet Metal Car Parts Using a Multiresolution Image Fusion Technique

This paper presents an image processing algorithm for on-line inspection of large sheet metal car parts. The automatic inspection of stamped sheet metal is not an easy task due to the high reflective nature of the material and the nearly imperceptible characteristics of the defects to be detected. In order to deal with the ubiquitous glints, four images of every zone are acquired illuminating from different directions. The image series is fused using a Haar transform into a single image where the spurious features originated by the glints are eliminated without discarding the salient information. Our results clearly suggest that the proposed fusion scheme offers a powerful way to obtain a clean image where these subtle defects can be detected reliably.

INSPECTION OF METALLIC STAMPED PARTS USING AN IMAGE FUSION TECHNIQUE

Abstract This paper presents a machine vision system for on-line inspection of large stamped car parts. The vision system includes a CCD camera and an illumination device that permit to obtain two images of the same zone illuminated from two different directions. The acquired images are fused using an energy function in order to eliminate the spurious features originated by glints and shadows of the metallic surface. The defects, if they are present, remain in the fused image and can easily be pointed out.