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This paper studies various different ways of representing plant leaves in different feature space to recognize them accurately and efficiently in changing scenario and dimension. Here, leaves are represented as: (i) statistical features — relative sub-image sparse coefficient (RSSC), (ii) shape features — angle view projection (AVP), (iii) multi-resolution features — Gabor Wavelet transform combined...
In recent years there have been many proposals for automated applications in vegetable harvesting. There are two major challenges: estimation of yield and harvesting of fruit trees. This research proposes a new algorithm that allows accurate counting of the number of fruits on a tree to accurately estimate the output of a dragon fruit. The algorithm consists of the following main steps: image segmentation,...
Atherosclerosis is a disease responsible for millions of deaths each year, primarily due to heart attack and stroke. Magnetic resonance (MR) imaging is a non-invasive method that can be used to analyze the carotid artery and detect signs of atherosclerosis. Most MR methods acquire high contrast, static images. These methods, however, are sensitive to artifacts from cardiac motion, produce time-averaged...
Convolutional Neural Network (CNN) has led to significant progress in face recognition. Currently most CNNbased face recognition methods follow a two-step pipeline, i.e. a detected face is first aligned to a canonical one predefined by a mean face shape, and then it is fed into a CNN to extract features for recognition. The alignment step transforms all faces to the same shape, which can cause loss...
We introduce Appearance-MAT (AMAT), a generalization of the medial axis transform for natural images, that is framed as a weighted geometric set cover problem. We make the following contributions: i) we extend previous medial point detection methods for color images, by associating each medial point with a local scale; ii) inspired by the invertibility property of the binary MAT, we also associate...
Automated segmentation of cell nuclei is crucial for the early diagnosis of cancer as the characteristics of the cell nuclei are mainly associated with the assessment of malignancy. Only a few research work has been done on automated segmentation of cell nuclei on cytology pleural effusion images, which is poorly handled by previous methods. In addition, cytology pleural effusion image itself is still...
Nowadays, the reading and interpretation of antibiogram tests is a frequently performed task by doctors, researchers and technicians at hospitals and laboratories. An antibiogram is a test of the sensitivity of a microorganism to given antibiotics. Reading an interpretation of the antibiogram results is usually performed manually, which leads to human errors and a great waste of time. There are few...
This paper presents improvements in terms of accuracy for shape object classification using a new low complexity method compared to previous implementation [1]. The method is using echoes generated by a JAVA platform capable of emulate sound propagation in a controlled 2D virtual environment [2][3]. Echoes originate from the ultrasonic waves generated inside a virtual environment which contains geometrical...
This paper addresses the problem of object-mask registration, which aligns a shape mask to a target object instance. Prior work typically formulate the problem as an object segmentation task with mask prior, which is challenging to solve. In this work, we take a transformation based approach that predicts a 2D non-rigid spatial transform and warps the shape mask onto the target object. In particular,...
Aiming at the problem that the reading speed of pointer instruments is slow and the precision is low, this paper proposes a new automatic reading algorithm. The paper improves the algorithm in instrument center recognition, pointer recognition and 0 scale line recognition. First, round-degree is used to recognize the instrument center. Then the algorithm removes the interferential images outside the...
This paper proposes the design of Discrete-Time PIDA (Proportional-Integral-Derivative-Acceleration) controller. Once, the satisfied PIDA controller in Continuous-Time system is obtained. Then, just discretises it by using trapezoidal approximation or bilinear transformation, the Discrete-Time PIDA controller is easily achieved as well. The root loci of the closed-loop systems are circular shapes...
Human beings have inseparably attached biofield with physical body. This is now universally accepted. Scientific experiments have conclusively proved that the state of mind, i.e. the thought process, is responsible for generating different characteristics of biophotons. Detection, measurement, and even two dimensional imaging of ultraweak biophotons emission have been reported. With rapid progress...
Automatic blobs detection constitutes a basic but difficult problem. In this work a new fast blobs detection technique based on a scale-space representation of the original image, is proposed. The scale-space representation is constructed by using a new simplified form of the Fast Radial Symmetry Transform to precisely detect the essential blobs. From the experiments we have conducted, the proposed...
In this study, we propose a fuzzy-based approach aiming at finding numerical solutions to some classical problems. We use the technique of fuzzy transform to solve a second-order ordinary differential equation with boundary conditions. To determine the optimal coefficients in expansion of a function, we minimize the integral squared error in 2-norm. Some examples are presented to illustrate the applicability...
It is the first step to complete edge detection of shaft part for the pose detection task. According to the characteristics of the shaft part image, an algorithm to improve contour detection is presented based on double thr eshold to extract the outline of shaft part. Freeman chain code is used to connect edge points for obtaining integrated contour information. The straightness of shaft image generatrix...
Effectively describing and recognizing leaf shapes under arbitrary deformations, particularly from a large database, remains an unsolved problem. In this research, we attempted a new strategy of describing shape by walking along a bunch of chords that pass through the shape to measure the regions trespassed. A novel chord bunch walks (CBW) descriptor is developed through the chord walking that effectively...
We address the problem of instance-level semantic segmentation, which aims at jointly detecting, segmenting and classifying every individual object in an image. In this context, existing methods typically propose candidate objects, usually as bounding boxes, and directly predict a binary mask within each such proposal. As a consequence, they cannot recover from errors in the object candidate generation...
Recently, convolutional neural networks (CNN) have been successfully applied to view synthesis problems. However, such CNN-based methods can suffer from lack of texture details, shape distortions, or high computational complexity. In this paper, we propose a novel CNN architecture for view synthesis called Deep View Morphing that does not suffer from these issues. To synthesize a middle view of two...
Measuring area of tumor in human's brain from only single image may provide incorrect information for further diagnosis. Generally, a doctor or an expert must examine a brain tumor from several sequential MRI images to conclude its size or the severity level of patient's illness. To imitate the way a doctor diagnosing such case in a real situation, some digital image processing techniques are proposed...
In this work we address the problem of analyzing video sequences and representing meaningful space-time points of interest. We base our work on the 3D shearlet transform. In particular, we exploit the relation between coefficients with similar shearings to build a local representation which turns out to be really informative to understand the local spatio-temporal characteristics of the points that...
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