Xin Chen

• BSEE, MSEE, PhD
• ENSCO, Inc.

A combined X-ray and laser 3D imaging system for food safety inspection, which uses a 3D laser subsystem to get accurate depth information, which is further combined with an x-ray image to achieve accurate physical contamination detection in poultry and other meat products. A unique calibration model is used to calibrate the x-ray and laser 3D imag...

A combined laser 3D and X-ray imaging system is newly developed for food safety inspection. Two kinds of cameras are used in this system. One is CCD camera which is used to provide an accurate thickness profile of the object and the other is X-ray line-scan camera which is to get the high resolution X-ray image. A unique three-step calibration proc...

An important task in hyperspectral data processing is to reduce the redundancy of the spectral and spatial information without losing any valuable details that are needed for the subsequent detection, discrimination and classification processes. Band selection and combination not only serves as the first step of hyperspectral data processing that l...

A laser range imaging system based on the triangulation method was designed and implemented for online high-resolution thickness calculation of poultry fillets. A laser pattern was projected onto the surface of the chicken fillet for calculation of the thickness of the meat. Because chicken fillets are relatively loosely-structured material, a lase...

In many hyperspectral applications, it is desirable to extract the texture features for pattern classification. Texture refers to replications, symmetry of certain patterns. In a set of hyperspectral images, the differences of image textures often imply changes in the physical and chemical properties on or underneath the surface. In this paper, we...

An important task in hyperspectral data processing is to reduce the redundancy of the spectral and spatial information without losing any valuable details that are needed for the subsequent detection, discrimination and classification processes. Band selection and combination not only serves as the first step of hyperspectral data processing that l...

Foreign materials such as metal slivers and stones in packed food are known safety hazards that can lead to severe health problems. In this article, a real-time x-ray imaging inspection method is investigated for foreign material detection in chili mix packages. A novel image segmentation method combining Canny edge detection and region growing was...

A combined X-ray/laser 3D imaging technology has been developed for bone fragment and foreign material detection in boneless poultry products. In this paper, various methods of pattern classification including neural network and statistical approaches are applied to the poultry images obtained by the combined imaging system, and the classification...

This paper describes a novel approach for detection of foreign materials in deboned poultry patties based on real-time imaging technologies. Uneven thickness of poultry patties could lead to a significant classification error in a typical X-ray imaging system, and we addressed this issue successfully by fusing laser range imaging (3D imaging) into...

In the bone fragment detection system currently being developed by the Bioimaging and Machine Vision Lab at UMD, there are three sensors and two light sources involved. To obtain the best performance of the system, the geometrical relation of these sensors and light sources need to be calculated. Among these parameters are the camera's intrinsic, e...

Thickness variation of chicken fillet is a major challenge to X-ray detection of embedded bone fragments. As a novel solution, combined x-ray and laser range imaging has been developed for thickness compensation effectively. In order for this synergic technology to work successfully for on-line industrial applications, the vision system should have...

A nonuniform background distribution may cause a global thresholding method to fail to segment objects. One solution is using a local thresholding method that adapts to local surroundings. In this paper, we propose a novel local thresholding method for image segmentation, using multiscale threshold functions obtained by wavelet synthesis with weigh...

A multiresolution-analysis-based local contrast transform is proposed to enhance local structures in x-ray images. The local contrast is defined as a ratio of the local intensity variation to the local mean. With wavelet multiresolution decomposition, the detail coefficients and approximation coefficients are interpreted, respectively, as local var...

In a bone fragment inspection system currently being developed, two different data streams are utilized. The first is acquired through x-ray detection and the second through laser imaging. The three-dimensional data from the laser imaging system is mapped to the x-ray data stream and both are then integrated to detect bone fragment or foreign inclu...