last few years, the stealth technology are designed to avoid detection using a variety of advanced technologies that reduce reflection/emission of radar, infrared, visible light, radio-frequency (RF) spectrum, and audio, collectively known as stealth technology. In this paper, the stealth technology ships will be easily detected by Laplacian of Gaussian algorithm. KeywordsDHT, Sobel operator, 3D edge detector.

/pdf/stealth-ships-detection-by-using-laplacian-of-gaussion-3o85uyrk0s.pdf

Stealth Ships Detection by using Laplacian of Gaussion Algorithm

In last few years, the stealth technology are designed to avoid detection using a variety of advanced technologies that reduce reflection/emission of radar, infrared, visible light, radio-frequency (RF) spectrum, and audio, collectively known as stealth technology. In this paper, the stealth technology ships will be easily detected by Laplacian of Gaussian algorithm.

The moving object detection from a stationary video sequence is a primary task in various computer vision applications. In this proposed system; three processing levels are suppose to perform: detects moving objects region from the background image; reduce noise from the pixels of detected region and extract meaningful objects and their features (area of object, center point of area etc.). In this paper; background subtraction techniques is used for segments moving objects from the background image, which is capable for pixel level processing. Morphology operation (Erosion and dilation) are used to remove pixel to pixel noise. In last level, CCL algorithm is used for sorts out foregrounds pixels are grouped into meaningful connected regions and their features.

/pdf/method-of-moving-region-detection-for-static-camera-217ld2kt1o.pdf

Method of Moving Region Detection for Static Camera

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Method of Moving Region Detection for Static Camera