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This paper presents a general framework for live detection of broilers in poultry houses. The challenges for image recognition of broilers are posted by crowded scenes, poor image quality and difficulty in acquiring a benchmark of labeled samples. The proposed framework consists on the use of image thresholding, morphological transformations, feature engineering, in addition to supervised and unsupervised...
This work proposes an obstacle avoidance method based on depth camera for UAV navigation. Firstly, we use a RealSense depth-camera to obtain depth images of the UAV flight environment. Then the image processing board is applied to stratify and segment the depth image and to obtain the orientation and distance information of the obstacle, thus generating the corresponding obstacle avoidance instructions...
A generator inspection robot (GIR) is used to visually inspect a megawatt power generator installed in a power plant. Conventionally, the GIR's location inside the power generator is identified by an operator staff, or using encoders attached to the GIR's track. However, one of the failures in localizing the GIR using encoders is due to a slip between the generator's belts and the robot's track. To...
India considers agriculture as it back bone in terms of economy. Every tree originates from seed and saplings are considered to be a small tree. Sapling stage is considered to be sensitive as it is more prone to diseases. Saplings require utmost care for it to have a healthy growth. This project is carried out to implement an Automatic plant health checking vehicle with the help of MATLAB where a...
Segmentation process in an essential part in image processing to obtain good preparation either for further process of data mining or object recognition. This paper proposes a new method of segmenting tomato image for clustering its ripeness. The tomato images are taken from three types of smartphone camera in various lighting condition with white background. When taking picture by using smartphone...
The paper deals with the development of a system for automatic weld recognition using new information technologies based on cloud computing and single-board computer in the context of Industry 4.0. The proposed system is based on a visual system for weld recognition, and a neural network based on cloud computing for real-time weld evaluation, both implemented on a single-board low-cost computer. The...
This paper presents the temporal enhancement of the graph-based depth estimation method, designed for multiview systems with arbitrarily located cameras. The primary goal of the proposed enhancement is to increase the quality of estimated depth maps and simultaneously decrease the time of estimation. The method consists of two stages: the temporal enhancement of segmentation required in used depth...
India is one the Country with High dense population. Due this high population Transportation and Parking of the Vehicles is the major issue faced by the Peoples. This Paper is to Provide a Intelligent Parking System through Image Processing. In this Systematic Approach the Image Processing Technique can be used to Identify the free empty Parking area to Park our Vehicles. In the Proposed process the...
Surveillance denotes close observation and monitoring of behavior, activities, or other dynamic information, of people or objects for the purpose of influencing, managing, directing, or protecting them. With advancement in technology and emerging of various intelligent prediction techniques, it has now become possible to imbibe the traditional video surveillance with intelligence to identify or take...
The seed germination test is an important process for successful farming. This process is time-consumed and needed to be done by an expert. In this paper, the image processing method is applied to measure a germination rate. The proposed method used a digital camera to capture the rice image, the root and seed sections are segmented using the HSV color model. The seed that has root attached is considered...
Due to the need of indoor emergency rescue for earthquake disasters, we propose the iPOST (Indoor Post-Earthquake Corridor Obstacle Assessment System) to determine the obstacles in the corridors after earthquakes. Before an earthquake hits, a pre-earthquake image is used to segment its corresponding floor area for determining the presence of obstacles. After an earthquake, the pre-earthquake and post-earthquake...
Improving inventory management is essential to retailer profitability. This paper proposes a supervised learning approach for Out-of-Stock (OOS) detection by Texture, Color and Geometry features in high-resolution panoramic images of grocery retail shelves. Cascade classifiers are used to detect labels that can potentially be used to confirm the presence of the OOS cases. The image acquisition setup...
Image Processing is fundamental for any camerabased vision system. In order to automate the prototyping process of image processing solutions to some extend, we propose a holistic, adaptive approach that comprises concepts for specification, composition, recommendation, execution, and rating of image processing functionality. The fundamental idea is to realize image processing applications according...
The physical condition that affects the way the human body processes sugar (glucose) is known as diabetes. It is an alarming issue and is one of the major causes to prolong human wounds. Wounds examination process involves an expertise and constant follow ups to check and recommend wound details. This is a costly process and troublesome in case of bed ridden patients. Various systems like MEdical...
Vision-based method of event detection for control algorithm of acorn scarification device has been presented in the paper. Instead of frame-based approach, line-scan mode of digital camera has been used. The advantage of this approach is an improved temporal resolution of machine-vision-based event detector and reduced latency as the line-acquisition time is significantly lower than the acquisition...
In this paper, the implementation to estimate the focus map spatially based on the intentional reblur of one image, which is the only input data, is presented. This enables flexible computation in the spatial domain, rather than the frequency domain. The gradient magnitude term widely used in image processing was used to derive a ratio map. The pixels closer to the focal point of the camera were on...
In this paper, we propose a new approach to detect and inspect airplane tires. We use normalized correlation based template matching to detect tires and GrabCut segmentation method to extract them from the background. We inspect the tires condition by investigating the tire treads. Ridge based intensity profiling gives satisfying inspection results.
According to the security and early warning requirement of the mooring ship motion in a large open sea terminal, a prediction method has proposed. This prediction method based on the digital image which obtained from the camera. After image processing, the probabilistic neural network and the signature algorithm are used to identify the ship type, and then the corresponding historical data of this...
The measurement of dark measurement objects with difficult surface characteristics is always a challenging task. Especially the measurement of pipes which cannot be measured in transmitted light conditions will lead to complicated situations during the image processing and the ongoing feature detection. In this paper two different methods will be presented which will overcome this problem. A quality...
A set of image processing approaches are proposed for processing digital holographic images of plankton. The images are segmented to produce regions of interest (ROI) of plankton, and then the shape description of plankton is normalized which is invariant under the transformations of translation, scaling, skewing and rotation. Also break points of the normalized shape contour curve are detected and...
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