Titlebook: Emerging Technology in Modelling and Graphics; Proceedings of IEM G Jyotsna Kumar Mandal,Debika Bhattacharya Conference proceedings 2020 Sp

聲明

Lament

Pastry

Grasp-Pose Prediction for Hand-Held Objects,, as observed in humans. We make use of the coil-100 dataset that comprises images of various handheld objects and employ a supervised learning mechanism to perform multi-label classification over a set of eight selected grasp-poses.

集中營

GEN

Muhammed Mesud Hürkul,Ugur Sekerer is measured. After this, we analyze a digital image of a fine needle aspirate (FNA) of breast tissue using image processing to find out the features of nuclei of the cells. We then apply the feature values to our trained model to find whether the tumor developed is benign or malignant.

Admire

An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction,th, can serve as a reliable platform for image registration and ocular disease detection. Experiments are done on the images of DRIVE and VARIA databases with an average accuracy of 97.20 and 96.45%, respectively, for segmentation, and a comparative study has also been shown with the existing works.

ordain

Breast Cancer Diagnosis Using Image Processing and Machine Learning,er is measured. After this, we analyze a digital image of a fine needle aspirate (FNA) of breast tissue using image processing to find out the features of nuclei of the cells. We then apply the feature values to our trained model to find whether the tumor developed is benign or malignant.

cajole

Heuristic Approach for Finding Threshold Value in Image Segmentation,mentation of the region of interest (ROI). This paper describes a . based on genetic algorithm optimization. OTSU algorithm is used for optimization. Threshold value of proposed method can be used for finding the ROI. A comparison has been made with other thresholding algorithms for supporting the better results.

hedonic

,Analyzing Code-Switching Rules for English–Hindi Code-Mixed Text,e extracted texts to its pure form, forming word pairs, annotation of these using of Parts-of-Speech tags and recognition of the rules that govern switching in code-mixed text. We have created three models, viz. baseline model, lexicon-based model, and machine learning-based model, and found out the individual accuracies of these models.

幼稚