{'fraction_non_alphanumeric': 0.010650887573964497, 'fraction_numerical': 0.0, 'mean_word_length': 4.4935064935064934, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Automated measurement of the increase in size of the chick area vasculosa over time

Today a lot of researches are done in the field of the development of chicken embryo. There are a lot of important steps in this development but the first steps are determinant for a viable growth of the chick. The embryo starts his development in an area called area vasculosa. We will focus on the growth of the vasculosa area and the embryo over time. Researchers are particularly interested in this area for example to add drugs to improve the development of the embryo. We will use machine Vision Techniques to extract particular features from images of this vasculosa area. In particular, the software Neatvision will be used all across the project. The purpose of the project is to build some robust programs that would to extract all of these features.