#edgedetection

[shinybvlb]

High-contrast Companionable Shiny Block made with SkyFire2008's #flash #edgedetection tool on @deviantart , upscaled with ai and colours altered. (at DeviantART) DeviantArt post 1 DeviantArt post 2

[txgruppi]

Coding Games and Programming Challenges to Code Better

CodinGame is a challenge-based training platform for programmers where you can play with the hottest programming topics. Solve games, code AI bots, learn from your peers, have fun.

[ijtsrd]

Deep Learning for X ray Image to Text Generation

by Mahima Chaddha | Sneha Kashid | Snehal Bhosale | Prof. Radha Deoghare "Deep Learning for X-ray Image to Text Generation" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, 

URL: https://www.ijtsrd.com/papers/ijtsrd23168.pdf

Paper URL: https://www.ijtsrd.com/engineering/information-technology/23168/deep-learning-for-x-ray-image-to-text-generation/mahima-chaddha

call for paper technology, technology journal, indexed journal

Motivated by the recent success of supervised and weakly supervised common object discovery, in this work we move forward one step further to tackle common object discovery in a fully unsupervised way. Mainly, object co localization aims at simultaneously localizing the objects of the same class across a group of images. Traditional object localization detection usually trains the specific object detectors which require bounding box annotations of object instances, or at least image level labels to indicate the presence absence of objects in an image. Given a collection of images without any annotations, our proposed fully unsupervised method is to simultaneously discover images that contain common objects and also localize common objects in corresponding images. It has been long envisioned that the machines one day will understand the visual world at a human level of intelligence. Now we can build very deep convolutional neural networks CNNs and achieve an impressively low error rate for tasks like large scale image classification. However, in tasks like image classification, the content of an image is usually simple, containing a predominant object to be classified. The situation could be much more challenging when we want computers to understand complex scenes. Image captioning is one such task. In these tasks, we have to train a model to predict the category of a given x ray image is to first annotate each x ray image in a training set with a label from the predefined set of categories. Through such fully supervised training, the computer learns how to classify an x ray image and convert into text. 

[moralespaula]

"Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision." Edge detection gif from parents and me dancing in 1991 #paulamorales #edgedetection #computervision #boundaries #borders #visualborders