Another experiment from LuluXXX exploring Machine Learning visual outputs, combining black and white image colourization, slic superpixels image segmentation and style2paint manga colourization on footage of Aya-Bambi dancing:
mixing slic superpixels and style2paint.
starts with version2 than version4 plus a little breakdown at the end and all 4 versions of the algorithm.
music : Spettro from NadjaLind mix - https://soundcloud.com/nadjalind/nadja-lind-pres-new-lucidflow-and-sofa-sessions-meowsic-mix
original footage : https://www.youtube.com/watch?v=N2YhzBjiYUgÂ
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Examination of Ship Object Recognition in High Determination Sar Metaphors Based on Information Theory and Harris Corner Detection Technique
by Akshara Jayanthan | Dr. G. Karpagarajesh ""Examination of Ship Object Recognition in High-Determination Sar Metaphors Based on Information Theory and Harris Corner Detection Technique""
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd27972.pdf Â
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/27972/examination-of-ship-object-recognition-in-high-determination-sar-metaphors-based-on-information-theory-and-harris-corner-detection-technique/akshara-jayanthan
peer reviewed journals, call for paper chemistry, ugc approved journals in mathemetics
"In demand to make up the defects of some prevailing ship object recognition systems for high determination synthetic aperture radar SAR images, a ship object recognition system centered on information theory and Harris corner recognition for SAR images is anticipated in this paper. At the outset, the SAR appearance is pretreated, and later, it is alienated into super pixel squares by consuming the upgraded simple direct iterative bunching super pixel generation algorithm. Then, the self statistics rate of the super pixel squares is deliberate, and the threshold T1 is fixed to hand picked the aspirant super pixel squares. And formerly, the prolonged vicinity biased statistics entropy progression level threshold T2 is set to exclude the false alarm aspirant super pixel squares. As a final point, the Harris corner detection algorithm is used to route the recognition outcome and the quantity of the corner threshold T3 is set to riddle out the false alarm squares, and the ultimate SAR image object recognition outcome is attained. The efficiency and supremacy of the recommended algorithm are certified by equating the recommended method with the outcomes of constant false alarm rate CFAR recognition algorithm shared with morphological handling algorithm and further ship object recognition algorithms.Â
Page 44 is up. Im trying to go more of a traditional manga look and I think it came out pretty damn good. I hope you all like it to. I will also update the previous pages to look up to date.
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