A. P. SHUKLA - Academia.edu (original) (raw)

Papers by A. P. SHUKLA

International Journal of Information Engineering and Electronic Business

Acquisition of digital image and preprocessing methods plays a vital role in clinical diagnosis. ... more Acquisition of digital image and preprocessing methods plays a vital role in clinical diagnosis. The ultrasound medical images are more popular than other imaging modalities, due to portable, adequate, harmless and cheaper nature of it. Because of intrinsic nature of speckle noise (signal based noise), ultrasound medical image leads to degradation of the resolution and contrast of the image. Reduction of this signal based noise is helpful for the purpose of visualization of the ultrasound images. The low quality of image is considered as a barrier for the better extraction of features, recognition, analysis and detection of edges. Because of which inappropriate diagnosis may be done by doctor. Thus, speckle noise reduction is essential and preprocessing step of ultrasound images. Analysts survey manifold reduction methods of speckle noise, yet there is no exact method that takes all the limitations into account. In this review paper, we compare filters that are Lee, Frost, Median, SRAD, PMAD, SRBF, Bilateral, Adaptive Bilateral and Multiresolution on medical ultrasound images. The results are compared with parameter PSNR along with the visual inspection. The conclusion is illustrated by filtered images and data tables.

International Journal of Signal Processing, Image Processing and Pattern Recognition

Vehicle detection and tracking applications play an important role for military and civilian appl... more Vehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning.This paper presents a review on the various techniques of On-Road Vehicle detection systems that are based on motion model. In this paper a literature Survey of previous and recent works is presented on visionbased vehicle detection using sensors. Detecting the objects in the video and tracking their motion to identify their characteristics has been emerging as a demanding research area in the domain of Image Processing and Computer Vision. The traffic image analysis comprises of three parts: (1) Traffic Analysis (2) Motion Vehicle Detection and Segmentation Approaches and (3) Vehicle Tracking Approaches. In this survey, we have classified these methods into various groups, and these groups are providing a detailed description of various representation methods and find out their positive and negative aspects.

15th International Conference on Advanced Computing and Communications (ADCOM 2007), 2007

Page 1. Solving Planted-Motif Problem – A New Approach Pankaj Agarwal, Sanjeev K. Yadav &... more Page 1. Solving Planted-Motif Problem – A New Approach Pankaj Agarwal, Sanjeev K. Yadav & AP Shukla Department of Computer Science & Engineering, Krishna Institute of Engineering & Technology, Ghaziabad, UP Abstract ...

This paper presents a new method for solving planted-motif problem, which is a well-known motif-f... more This paper presents a new method for solving planted-motif problem, which is a well-known motif-finding problem in the field of computational molecular biology. Motif-finding problem is considered to be a NP-complete problem and constant research is being carried out to solve the stated problem using some deterministic algorithm in polynomial time. This paper is an attempt to solve the plated-motif problem using a deterministic method in polynomial time. The method presented is not an exact algorithm but the probability of success is quite high. Significance of the technique is its simplicity and time efficiency. The presented technique is implemented as one of the modules in our general-purpose tool by the name "Sequence Comparison and Analysis Tool" for solving a number of sequence comparison problems encountered in the field of bioinformatics.

International Journal of Information Engineering and Electronic Business

Acquisition of digital image and preprocessing methods plays a vital role in clinical diagnosis. ... more Acquisition of digital image and preprocessing methods plays a vital role in clinical diagnosis. The ultrasound medical images are more popular than other imaging modalities, due to portable, adequate, harmless and cheaper nature of it. Because of intrinsic nature of speckle noise (signal based noise), ultrasound medical image leads to degradation of the resolution and contrast of the image. Reduction of this signal based noise is helpful for the purpose of visualization of the ultrasound images. The low quality of image is considered as a barrier for the better extraction of features, recognition, analysis and detection of edges. Because of which inappropriate diagnosis may be done by doctor. Thus, speckle noise reduction is essential and preprocessing step of ultrasound images. Analysts survey manifold reduction methods of speckle noise, yet there is no exact method that takes all the limitations into account. In this review paper, we compare filters that are Lee, Frost, Median, SRAD, PMAD, SRBF, Bilateral, Adaptive Bilateral and Multiresolution on medical ultrasound images. The results are compared with parameter PSNR along with the visual inspection. The conclusion is illustrated by filtered images and data tables.

International Journal of Signal Processing, Image Processing and Pattern Recognition

Vehicle detection and tracking applications play an important role for military and civilian appl... more Vehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning.This paper presents a review on the various techniques of On-Road Vehicle detection systems that are based on motion model. In this paper a literature Survey of previous and recent works is presented on visionbased vehicle detection using sensors. Detecting the objects in the video and tracking their motion to identify their characteristics has been emerging as a demanding research area in the domain of Image Processing and Computer Vision. The traffic image analysis comprises of three parts: (1) Traffic Analysis (2) Motion Vehicle Detection and Segmentation Approaches and (3) Vehicle Tracking Approaches. In this survey, we have classified these methods into various groups, and these groups are providing a detailed description of various representation methods and find out their positive and negative aspects.

15th International Conference on Advanced Computing and Communications (ADCOM 2007), 2007

Page 1. Solving Planted-Motif Problem – A New Approach Pankaj Agarwal, Sanjeev K. Yadav &... more Page 1. Solving Planted-Motif Problem – A New Approach Pankaj Agarwal, Sanjeev K. Yadav & AP Shukla Department of Computer Science & Engineering, Krishna Institute of Engineering & Technology, Ghaziabad, UP Abstract ...

This paper presents a new method for solving planted-motif problem, which is a well-known motif-f... more This paper presents a new method for solving planted-motif problem, which is a well-known motif-finding problem in the field of computational molecular biology. Motif-finding problem is considered to be a NP-complete problem and constant research is being carried out to solve the stated problem using some deterministic algorithm in polynomial time. This paper is an attempt to solve the plated-motif problem using a deterministic method in polynomial time. The method presented is not an exact algorithm but the probability of success is quite high. Significance of the technique is its simplicity and time efficiency. The presented technique is implemented as one of the modules in our general-purpose tool by the name "Sequence Comparison and Analysis Tool" for solving a number of sequence comparison problems encountered in the field of bioinformatics.