biomarker
DESCRIPTION
Fish Liver&& Gills microscopic image as Biomarker for water gualityTRANSCRIPT
FISH LIVER AS BIOMARKER FOR WATER QUALITYWATER QUALITY
Presented by:Asmaa Hashem , Master student
Supervised by :Dr Nashwa El-Bendaryprof Aboul Ella Hassanien
Scientific Research Group in Egyptwww.egyptscience.net
2 Introduction1
Content
2 Problem definition && Objective
Proposed system modelProposed system model3
Current Task4
Introduction
The monitoring of water quality is a great challenge today. To
carry out chemical analysis continuously is complex and
expensive, and also provides limited data about the chemical
compounds which ignores the influence of those excluded in
the analysis.
Fish Liver observed microscopically showed increasing
degrees of damage in the tissues in correlation with the quality
of water. So we use the fish liver as a biomarker for water
quality.
Problem definition
Fish Liver and Gills as biomarker on water quality Based on Microscopic Images
Objective
presents an image classification approach to automate the
process of assessing water quality by examining and
classifying different Fish liver histopathology.
Input Microscopic gills image
Pre-processing Stage
Color- and Texture-Based Image Enhancement ,segmentation,The Morphological and
Input Microscopic liver Image
The Proposed system Model
The Morphological and Logical operation
Feature Extraction Stage
Classification Stage
Testing Stage and detect similar images
Result( water Quality or not)
The Proposed system Model
PhasePhase 11.. PrePre--processingprocessing phasephase
Pre-Processing phase takes dataset as a image data input
Then ,the contrast enhancement is performed. Thus, contrast of a
microscopic image in a given Grey level texture descriptors modelmicroscopic image in a given Grey level texture descriptors model
the spatial relationship of a pixel and its neighbors.
In pre-processing stage, the thresholding is performed to
microscopic images. The threshold value must be selected
appropriate to image. If the threshold value is well selected,
threshold will yield good visualization and increase the accuracy
and efficiency of the subsequent processing.
The Proposed system Model
PhasePhase 11.. PrePre--processingprocessing phasephase
In pre-processing stage, used to extract the Shape Feature
vector. The Morphological operations produce an output
image in which each pixel is based on the comparison of the
input image and its neighborhood
Morphological operations on query image are two type:
The Dilation operation adds pixels to the boundaries of the objects
the Erosion operation removes pixels from the object boundaries.
The Proposed system Model cont…
PhasePhase 22::Feature extraction stage: In this stage, we use the
method derives a set of functions that make use of the
central moments of pre-processed image for characterize the
shape of each image . The output of these is independent of
any translation, rotation or mirror image
PhasePhase 33 Classification stage: In this stage is used for
classification of features extracted feature extraction stage.
For this aim, a database was constructed from The training
The Proposed system Model cont…
PhasePhase 44 Testing stage: In testing stage, the rest of the database
was used for testing of the proposed system based
classification of fish microscopic images.
Current Task
Analysis of the collected data . And preparing this
data for processing
Thank youThank you