Results 11 to 20 of about 7,219 (185)
Unstained Blood Smear Analysis: A Review of Rule-Based, Machine Learning, and Deep Learning Techniques. [PDF]
J BiophotonicsBright‐field images of unstained smears. (1) Sparse erythrocytes allow straightforward intensity‐ or phase‐based segmentation. (2) Overlapping cells blur boundaries, causing over‐ or under‐segmentation and lowering rule‐based accuracy, thus motivating overlap‐aware algorithms for reliable downstream feature extraction and classification. ABSTRACT Blood
Baydargil HB, Bocklitz T.
europepmc +2 more sources
Insulator fault feature extraction system of substation equipment based on machine vision
IET Networks, EarlyView., 2022 Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang +4 more
wiley +1 more source
Preprocessing of Breast Cancer Images to Create Datasets for Deep-CNN
IEEE Access, 2021 Breast cancer is the most diagnosed cancer in Australia with crude incidence rates increasing drastically from 62.8 at ages 35–39 to 271.4 at ages 50–54 (cases per 100,000 women). Various researchers have proposed methods and tools based on
Abhijith Reddy Beeravolu +5 more
doaj +1 more source
Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness
IEEE Access, 2020 Manual inspection and harvesting of ripening tomatoes is time consuming and labor intensive. Smart agriculture can emphasize the use of digital horticultural resources for farming and can increase farm sustainability; to that end, we proposed a fuzzy ...
Yo-Ping Huang +2 more
doaj +1 more source
Detection of Dashboard in Fuzzy Image by Correction Force Snake Model
Journal of Harbin University of Science and Technology, 2018 In order to solve the problem that the accuracy of the dashboard detection in fuzzy images is not high，an improved Snake model based on the correction force is proposed.
YU Shu-chun, DONG Jing-yi
doaj +1 more source
Axioms, 2017 Hough transform (HT) is a useful tool for both pattern recognition and image processing communities. In the view of pattern recognition, it can extract unique features for description of various shapes, such as lines, circles, ellipses, and etc.
Ümit Budak +3 more
doaj +1 more source
Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks [PDF]
, 2018 https://doi.org/10.1007/978-3-319-77712-2_62The detection of red blood cells in blood samples can be crucial for the disease detection in its early stages.
Luque-Baena, Rafael Marcos +4 more
core +1 more source
Gradient Algorithms for Fuzzy Hough Transform.
The Journal of the Institute of Television Engineers of Japan, 1996 テンプレートマッチングを最適化問題として定式化して, ハブ変換のテンプレートマッチングやロバスト回帰との等価性を示す.また, ファジイハフ変換におけるメンバーシップ関数をこの定式化から導出し, データ点とテンプレートとの距離が解析的には表せない場合の勾配法によるファジイハフ変換アルゴリズムを導く.
Hiroyuki Matsunaga +2 more
openaire +2 more sources
Theoretical quantification of shape distortion in fuzzy Hough transform [PDF]
Fuzzy Sets and Systems, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Basak, Jayanta, Pal, Sankar K.
openaire +2 more sources
A neuro-fuzzy system for automated detection and classification of human intestinal parasites
Informatics in Medicine Unlocked, 2018 Background and objective: Human intestinal parasites are a major public health concern in tropical countries. The most reliable diagnosis of these parasites relies on the visual analysis of stool specimens. However, this method is time consuming, tedious,
Oscar Takam Nkamgang +3 more
doaj +1 more source