Architecture of a configurable 2-D adaptive filter used for small object detection and digital image processing

2003 ◽  
Vol 42 (8) ◽  
pp. 2182 ◽  
Author(s):  
Hongshi Sang ◽  
Xubang Shen ◽  
Chaoyang Chen
Keyword(s):  
Image Processing ◽  
Object Detection ◽  
Digital Image Processing ◽  
Adaptive Filter ◽  
Digital Image ◽  
Small Object ◽  
Small Object Detection

scholarly journals Deteksi Objek Berwarna Merah Secara Real Time Dengan Algoritma Color Filtering

2019 ◽  
Vol 3 (2) ◽  
pp. 140
Author(s):  
Yona Fransiska Dewi ◽  
Nurul Fadillah
Keyword(s):  
Image Processing ◽  
Research And Development ◽  
Object Detection ◽  
Object Tracking ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Processing Techniques ◽  
Detection And Tracking ◽  
Web Camera ◽  
Processing Techniques

The various knowledge and techniques of digital image processing currently available vary greatly. Research and development has been carried out towards object detection and tracking. Color is one of the parameters used to detect and track objects. Humans can distinguish a color, but a computer may not necessarily recognize that color. Digital image processing techniques that can recognize colors, one of which is color filtering. In this study, Color filtering is a technique of processing digital images based on specific colors, detecting and tracking colors by using a web camera (webcam) and red objects. Object Tracking is the process of following an object that moves and moves position, so that the colored object being tracked will draw in realtime with the results of the colors that can be selected.

Image processing chip for small object detection

1999 ◽  
Vol 146 (2) ◽  
pp. 49 ◽  
Author(s):  
E. LeRiguer ◽  
R. Woods ◽  
D. Ridge ◽  
J. McCanny
Keyword(s):  
Image Processing ◽  
Object Detection ◽  
Small Object ◽  
Small Object Detection

scholarly journals Categorization of Vehicle and Motion Analysis Using Vehicle Features

2018 ◽  
Vol 7 (3.10) ◽  
pp. 184
Author(s):  
Ms S.Vanithamai ◽  
Dr S.Purushothaman
Keyword(s):  
Image Processing ◽  
Object Detection ◽  
Motion Analysis ◽  
Digital Image Processing ◽  
Digital Image ◽  
Research Work ◽  
Vehicle Classification ◽  
Image Processing Techniques ◽  
Video Frames ◽  
Processing Techniques

This research work can identify the vehicle and classify the vehicle using the vehicle features such as shape, color etc., The parameters extracted from the vehicle classification are based on movement of the vehicle are classified as static, movement variation in the successive video frames are used to identify the hazardness of the vehicle. Digital Image processing techniques are used in the object detection. 

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

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