i-manager’s Journal on Image Processing最新文献_第3页

WHITE BLOOD CELL IMAGE CLASSIFICATION FOR ASSISTING PATHOLOGIST USING DEEP MACHINE LEARNING: THE COMPARATIVE APPROACH 利用深度机器学习辅助病理学家的白细胞图像分类:比较方法

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.6.4.16724

A. R. Kirtee, H. Yogesh

引用次数: 2

Voice-based depression screening in Parkinson's disease: Leveraging voice 基于语音的帕金森病抑郁筛查:利用声音

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.10.2.19811

K. Thamizhmaran, M. Pooja

{"title":"Voice-based depression screening in Parkinson's disease: Leveraging voice","authors":"K. Thamizhmaran, M. Pooja","doi":"10.26634/jip.10.2.19811","DOIUrl":"https://doi.org/10.26634/jip.10.2.19811","url":null,"abstract":"This research focused on addressing the common occurrence of depression in individuals with Parkinson's Disease (PD), a neurodegenerative disorder. Depression can significantly affect a person's functioning, making early detection crucial for effective treatment. The analysis explored the use of voice recordings from PD patients to extract paralinguistic features, which are non-verbal elements of speech such as tone, pitch, and rhythm. These features were then utilized to train Machine Learning and Deep Learning models with the objective of predicting depression. The results of the research revealed promising outcomes, with the models achieving accuracies as high as 0.77 in accurately classifying subjects as depressed or non-depressed. These findings suggest that voice recordings can serve as digital biomarkers to screen for depression among PD patients. By leveraging these paralinguistic features, healthcare professionals could potentially identify depression in PD patients at an earlier stage, facilitating prompt intervention and enhancing treatment outcomes. The implications of this research are as follows. Implementing voice-based screening tools could offer a non-invasive and easily accessible method to assess the mental well-being of PD patients. Such early detection could help clinicians to tailor treatment plans accordingly, ensuring that patients receive appropriate care for both PD and comorbid depression. Ultimately, the integration of voice-based screening into routine clinical practice has the potential to improve the overall quality of patients with PD, leading to better mental health outcomes.","PeriodicalId":292215,"journal":{"name":"i-manager’s Journal on Image Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126448461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of modified water index (MWI) for extraction of water bodies in landsat-8 imagery landsat-8影像水体提取的修正水指数分析

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.9.1.18526

Vardhana Reddy K. Harsha, Sankar Reddy D. Gowri

{"title":"Analysis of modified water index (MWI) for extraction of water bodies in landsat-8 imagery","authors":"Vardhana Reddy K. Harsha, Sankar Reddy D. Gowri","doi":"10.26634/jip.9.1.18526","DOIUrl":"https://doi.org/10.26634/jip.9.1.18526","url":null,"abstract":"Remote sensing techniques play an important role in exploring and management of water resources on the surface of the earth. Water bodies' identification from multispectral imagery is mainly done using several water indices. Water indices evolved based on the reflectance variations in multispectral imagery from different water bodies. Normalized Difference Water Index (NDWI) is mostly popularly used water index for detection of water bodies. The NDWI water index is used to classify the clear water bodies from non-water bodies and mixed water bodies. Modified Normalized Difference Water Index (MNDWI) is used to classify the clear water bodies along with mixed water bodies from non-water bodies. The selection of appropriate indices significantly affects the performance accuracy in extraction of water bodies. This paper aims in proposing simple and effective water index based on multi bands, Blue, Green, NIR and SWIR2.The objective of Modified Water Index (MWI) is better handling classification of the mixed water pixels. The Blue, Green bands has high reflectance values and Near Infrared (NIR), Short Wave Infrared (SWIR2) bands has low reflectance from water bodies. The significant reflectance variance feature of SWIR2 from clear water to mixed water bodies is useful in the classification of the mixed water pixels in the MWI. The performance of the Modified Water Index is analyzed and compared with the existing several water indices. The performance metrics such as Water Spread Area, mean and standard deviation are used to compare the effectiveness of water body indices.","PeriodicalId":292215,"journal":{"name":"i-manager’s Journal on Image Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121674308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation of image fusion model using DCGAN 利用DCGAN实现图像融合模型

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.9.4.19229

P. Sreedhar, Tedla Balaji, Somayajulu Meduri Sai

引用次数: 0

Estimation and correction of motion blur in digital images 数字图像运动模糊的估计与校正

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.9.4.19285

Dileep Kumar Abotula, Bodasingi Nalini

引用次数: 0

A review on music recommendations based on facial expression 基于面部表情的音乐推荐研究综述

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.9.3.19012

Kale Yash, Maurya Sandeep, Prajapati Anisha

{"title":"A review on music recommendations based on facial expression","authors":"Kale Yash, Maurya Sandeep, Prajapati Anisha","doi":"10.26634/jip.9.3.19012","DOIUrl":"https://doi.org/10.26634/jip.9.3.19012","url":null,"abstract":"Deciding which music to listen to from the huge collection of existing options is often confusing. Depending on the user's mood, multiple suggestion frames are available for topics such as music, food, and shopping. The main purpose of this music recommendation system is to provide users with suggestions based on users' tastes. By analysing the user's facial expressions and emotions, it is possible to understand the user's current emotional and psychological state. Music and video are areas where there is a great opportunity to offer customers a wide range of choices, taking into account customer preferences and recorded information. It is well known that people use facial expressions to more clearly expresses what they want to say and the context of the words. More than 60% of the users believe that the song library has too many songs at any given time to find the one that needs to be played. Developing a recommendation system could help users decide which music to listen to and reduce stress levels. Users do not have to waste time searching and searching for songs; it will recognize the track that best fits the user's mood and present the songs to the user according to the user's mood. Music plays a role in emotions, which in turn affects mood. Books, movies, and Television (TV) shows are a few more means, but unlike these, music conveys its message in pure moments. It can help us when people feel low. When people listen to sad songs, their mood tends to drop. When they listen to happy songs, it makes them feel happier. This music recommendation model will mainly work to improve the mood of the user by providing a detection track for the user's facial expression and recommending the preferred song according to the user's expression. User images are captured using webcams. A user's picture is taken, and depending on the user's mood or feeling, appropriate songs are displayed from the user's playlist to meet the user's requirements.","PeriodicalId":292215,"journal":{"name":"i-manager’s Journal on Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129048324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Through the wall imaging radar 通过墙壁成像雷达

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.9.1.18592

Kaushik Mayank, Phartyal Deepanshu, Dubey Sonam, P. M. Menghal, Suri Naveen

{"title":"Through the wall imaging radar","authors":"Kaushik Mayank, Phartyal Deepanshu, Dubey Sonam, P. M. Menghal, Suri Naveen","doi":"10.26634/jip.9.1.18592","DOIUrl":"https://doi.org/10.26634/jip.9.1.18592","url":null,"abstract":"In a Counter Insurgency/Counter Terrorism environment, where the life of a soldier is of paramount importance at times of uncertainty while carrying out house clearing drills. It is imperative that they would come across situations wherein there is a presence of a hostile target inside a closed room/house. This research paper encompasses “Through the wall target detection, classification, and range estimation”. Using a two port Vector Network Analyzer (VNA) as a power source, which was initially in the frequency domain was converted to time domain format for better assimilation of target detection and classification. One port of VNA utilized as transmitter and other as receiver, where two dual ridged horn antennas were placed. Also, by carrying out screen mirroring of the VNA with the laptop, the display as well as control of VNA, could be done using a laptop. The experimental results achieved were detection of stationary object/ stationary human being, moving human being, differentiation between stationary human & moving human and also differentiation between armed and unarmed personnel. These results achieved were based on the peak detection and display on the VNA screen/laptop. To achieve algorithm-based detection and classification, signal processing is required to be done depending on the peak detected and also an algorithm for real-time data transfer from VNA to the laptop.","PeriodicalId":292215,"journal":{"name":"i-manager’s Journal on Image Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124506726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

INTELLIGENT TRAFFIC LIGHT CONTROL SYSTEM 智能交通灯控制系统

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.8.2.18188

Vyshnavi Kanakam, Raghunath Swapna

引用次数: 0

HUMAN RECOGNITION SYSTEM USING BEHAVIORAL ANDPHYSICAL BIOMETRICS 使用行为和物理生物计量学的人类识别系统

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.8.4.18466

Ragini Pathari, S. Barde

引用次数: 0

TRAFFIC RULE VIOLATION DETECTION SYSTEMS 交通规则违规检测系统

i-manager’s Journal on Image Processing Pub Date : 1900-01-01 DOI: 10.26634/jip.8.4.18510

Praneeti Lohiya, Himani Uike, A. Dubey, S. Mandal

引用次数: 0