منابع مشابه
Flame Detection using Image Processing Techniques
Dynamic textures are common in natural scenes. Examples of dynamic textures in video include fire, smoke, trees in the wind, clouds, sky, ocean waves etc. The fire is characterized using efficient features and detection of the same using a suitable processing. Every pixel is checked for the presence or absence of fire using color features, and periodic behavior in fire regions is also analyzed....
متن کاملResearch of Flame Detection on Visual Saliency Method
In order to improve the fire detection efficiency of large-scale and complex environment, the paper built a model of flame detection on visual selective attention method. In this model, saliency regions are obtained by Fourier spatial and temporal spectral residual, saliency objects are generated by using a object detection method based on the weight of the color space clustering, and saliency ...
متن کاملDocument Image Dewarping Based on Text Line Detection and Surface Modeling (RESEARCH NOTE)
Document images produced by scanner or digital camera, usually suffer from geometric and photometric distortions. Both of them deteriorate the performance of OCR systems. In this paper, we present a novel method to compensate for undesirable geometric distortions aiming to improve OCR results. Our methodology is based on finding text lines by dynamic local connectivity map and then applying a l...
متن کاملBox Flame Detection and Image Normalization in Comic Images
In recent years, digital comic images are popular on the Internet. In general, they are scanned from comic books, but most of them are not normalized about their size, skew and margin. The normalization of comic images in preprocessing step has many advantages in automatic comic image analysis such as content-based comic image retrieval systems. The normalization in comic image can be carried o...
متن کاملOptimized Flame Detection Using Image Processing Based Techniques
Present work is an in depth study to detect flames in video by processing the data captured by an ordinary camera. Previous vision based methods were based on color difference, motion detection of flame pixel and flame edge detection. This paper focuses on optimizing the flame detection by identifying gray cycle pixels nearby the flame, which is generated because of smoke and of spreading of fi...
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ژورنال
عنوان ژورنال: DEStech Transactions on Social Science, Education and Human Science
سال: 2017
ISSN: 2475-0042
DOI: 10.12783/dtssehs/icss2016/8937