#scene test

[mothstache]

give this man a sword cane...

[seahagart]

quick sketch of my swamp hag in training, Mildew!

More Mildew Here! (along with her sister)

[gemgnome]

*chanting* SCENE TEST SCENE TEST SCENE TEST

[stringsofheartsworld]

The dim look in Narin’s eyes, so constantly present the past few months, dulling the eyes that used to dance with so much light and mischief, had finally started to fade. The faint spark was there, slowly building, it would take time and nurturing, but it was back. “Hey.” He half smiles as he glances at Ton as he settles next to him, placing the glasses on the table in front of them.

Ton half smiles back at him. “Hey yourself. Welcome back to life.” He regrets it as soon as the words leave his mouth. He didn’t want to say or do anything that might cause a reminder or dim the light.

Instead Narin just chuckles low and only a bit bitter. “ ‘Back to life’? That’s a good way to describe this feeling.” He’s quiet for only milliseconds before he turns and lunges forward to wrap his arms around his brother in a tight hug. “Thank you Ton.” His voice is quiet and shaky but finally it sounds like him again. “Thank you for taking me to see them.”

[ijtsrd]

Text Detection from Natural Images using MSER Algorithm

By Lokendra Singh Banafar | Dr. Lalita Gupta"Text Detection from Natural Images using MSER Algorithm" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, 

URL: http://www.ijtsrd.com/papers/ijtsrd10806.pdf  

http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/10806/text-detection-from-natural-images-using-mser-algorithm/lokendra-singh-banafar

multidisciplinary journal, call for paper life sciences, ugc approved management journal

In present daily life text plays an important role in daily life because of its rich information that is why automatic text detection in natural images has many applications. But detecting the text from natural image is always a challenging problem. Due to the presence of variation in the background and as the size of the text also not fixed in case of natural images it is very difficult to identify the text accurately. Through tremendous efforts have recently been devoted in this research but still reading texts in unconstrained environment is still challenging and remain a problem. Today text detection finds many applications in various fields, including visual impairment assistance, tourist assistance, content based image retrieval and unmanned ground vehicle navigation. Today most of the images are taken from the camera and other handhold devices which are not fixed and sometimes due to the movement of the object the problem of blurring is observed which makes it even more difficult to detect the text from natural images. Here in this thesis an idea is proposed to detect and recognize the text contains in the image as the main problem in Computer vision is to separate the text from the background components. There are many methods which are still used to detect the text from the natural scene such as text detection using edge analysis, robust text detection, Real time text tracking, but none of them is promising. In this paper text detection is carried by using canny edge detection algorithm and MSER based method along with the image enhancement which results in the improved performance in terms of text detection. In addition, we improve current MSERs by developing a contrast Enhancement mechanism that enhances region stability of text patterns.to remove the blurring caused during the capture of image Lucy Richardson de blurring Algorithm is used. 

[reidempsey]

yaaasssss another scene

[norman-mortis-thesis]

Testing out the look for scene 8

[wastedarkcell]

Scene test

Burkowitz: Vampires tend to care for their own. They ain't much on Southern Hospitality. Leona: So you've never killed one? Burkowitz: Ha, no. I have a good relationship with most Convenes around here. All in-fighting tends to be a very personal matter to them. Leona: Most Convenes? Burkowitz: Yeah. There's one in Louisiana with the cover of a leper colony that don't count me as a friend. Leona: How'd that come to pass? Burkowitz: My predecessor was what many would call an asshole. I've been doing my best to make amends for his actions. But things that are long lived have a unique ability to hold a grudge. [Who wants more?]