JPL's Image Processing Laboratory (IPL) has been processing imagery using digital computers for approximately ten years. During that period, the computer capability at the IPL has developed from a single job batch oriented system with no volatile image displays to a multi-task environment accommodating both batch processing and several interactive tasks simultaneously, supporting a variety of g...

Background: Temporomandibular joint disorder (TMD) might be manifested as structural changes in bone through modification, adaptation or direct destruction. We propose to use Local Binary Pattern (LBP) characteristics and histogram-oriented gradients on the recorded images as a diagnostic tool in TMD assessment.Material and Methods: CBCT images of 66 patients (132 joints) with TMD and 66 normal...

Natural object detection in outdoor scenes, i.e., identifying key object types such as sky, grass, foliage, water, and snow, can facilitate content-based applications, ranging from image enhancement to other multimedia applications. A major limitation of individual object detectors is the significant number of misclassifications that occur because of the similarities in color and texture charac...

Multiplication functions constitute the kernel of many real-life applications. They are used extensively in applications such as digital signal processing, image processing, cryptography and multimedia [1,2,3]. Recent computing oriented FPGAs feature embedded DSP blocks including small embedded multipliers. Achieving efficient realization of multiplication may have significant impact on the spe...

this paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. this system can be used in multiple places. for example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. this system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. a...

The noise in reconstructed slices of X-ray Computed Tomography (CT) is of unknown distribution, non-stationary, oriented and difficult to distinguish from main structural information. This requires the development of special post-processing methods based on the local statistical evaluation of the noise component. This paper presents an adaptive method of reducing noise in CT images employing th...