JPS5957365A - Discriminating circuit of back and belly of fish - Google Patents
Discriminating circuit of back and belly of fishInfo
- Publication number
- JPS5957365A JPS5957365A JP16738082A JP16738082A JPS5957365A JP S5957365 A JPS5957365 A JP S5957365A JP 16738082 A JP16738082 A JP 16738082A JP 16738082 A JP16738082 A JP 16738082A JP S5957365 A JPS5957365 A JP S5957365A
- Authority
- JP
- Japan
- Prior art keywords
- circuit
- density
- fish
- contour
- belly
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Processing Of Meat And Fish (AREA)
- Image Processing (AREA)
Abstract
Description
【発明の詳細な説明】
(1)発明の技術分野
本発明は魚体の背腹の一度の違いを利用し高速かつ安定
に背腹を判定する識別回路に関するものである。DETAILED DESCRIPTION OF THE INVENTION (1) Technical Field of the Invention The present invention relates to an identification circuit that rapidly and stably determines the dorso-ventral position of a fish by utilizing a single difference in the dorso-ventral position of the fish body.
(2ン従来技術と問題点
従来、採取された魚類を自動加工する装置嵯に送る場合
、魚体の背腹を識別する工程が適用されている。この方
法としては2値化された魚体像または魚体のエツジ情報
より形状に関して特徴抽出する方法があるが、特徴抽出
過程が複雑で必シ、また安定性に欠けるという欠点があ
った。(2) Prior art and problems Conventionally, when sending collected fish to an automatic processing device, a process of identifying the dorsal and ventral parts of the fish body is applied. There is a method for extracting features regarding the shape of a fish from edge information, but this method has the disadvantage that the feature extraction process is complicated and necessary, and it lacks stability.
(3)発明の目的
本発明の目的は魚体のR腹の違いを利用し高速かつ安定
に背腹を判定する魚体背腹識別回路を提供することであ
る。(3) Purpose of the Invention An object of the present invention is to provide a fish body dorsoventral discrimination circuit that uses the difference in the radius of the fish body to quickly and stably determine the dorsoventral position.
(4)発明の構成
前記目的を達成するため、本発明の魚体背腹識別回路は
画像データとして入力された魚体の輪郭線を検出する回
路、上下輪郭線間の中線を検出する回路、これらの回路
からの出力信号よシ魚体の下半面と下半面の画像データ
の一度を加nまたは加重平均する回路、および上半面と
下半面それぞれの加算値または平均値を比較する回路を
具えたことを特徴とするものである。(4) Structure of the Invention In order to achieve the above object, the fish body dorsal and ventral identification circuit of the present invention includes a circuit for detecting the contour line of a fish body input as image data, a circuit for detecting the median line between the upper and lower contour lines, and a circuit for detecting the contour line of the fish body input as image data. The output signal from the circuit is provided with a circuit that adds or weights the image data of the lower half of the fish body and the lower half, and a circuit that compares the summed value or average value of the upper half and the lower half. It is characterized by:
(5)発明の実施例 図は本発明の実施例の構成説明図である。(5) Examples of the invention The figure is a configuration explanatory diagram of an embodiment of the present invention.
まず、対象となる魚体■を光学的に走査した装炭画像を
図示されていない前処理回路によシノイズ処理等を行な
う。こうして得られた入力データを輪郭部抽出回路1に
入力し、エツジ検出を行ない外側エツジ抽出、抽出点の
統合処理等を行なh1魚体の輪郭線@の上側、下側座標
(ai、bi)を抽出する。この上側、下側輪郭線αi
、bi e中線検出回路4に入れ、輪郭線の各縦軸の座
標1直を平均して連結し、中線c(を検出する。First, a pre-processing circuit (not shown) performs noise processing on a carbonized image obtained by optically scanning the target fish body (2). The input data thus obtained is input to the contour extracting circuit 1, which performs edge detection, extracts outer edges, integrates the extraction points, etc. h1 Fish body contour @ upper and lower coordinates (ai, bi) Extract. This upper and lower contour line αi
, bi e is input into the median line detection circuit 4, and the coordinates of each vertical axis of the contour line are averaged and connected to detect the median line c().
さらに入力データを上側、下側の行dre加算回路2,
5に並列入力し、輪郭N ai、b(と中相c4 の間
の部分αi〜Ct + C(□ biの濃度直を行毎に
加算し、行嬢度加算1直A(+ B(を算出する。この
行一度加鼻値Atr Btをそれぞれ上側、下側列濃度
訓算回路5゜6に入力して各列毎に加算し、上半部、下
半部一度刀u算1直T、z= :Ait Tb=XBi
を算出する。これらの値1’、、 Tbを背腹判定回路
7に送シ、T4とTbの値を比較し、魚体Oに示すよう
に濃度の犬きbT。Furthermore, the input data is added to the upper and lower row adder circuits 2,
5 in parallel, add the density direct of the part αi to Ct + C(□ bi between the contour N ai, b Calculate.The row value Atr Bt is input to the upper and lower column density calculation circuits 5 and 6, and added for each column, and the upper and lower halves are calculated once. ,z= :Ait Tb=XBi
Calculate. These values 1', Tb are sent to the dorsoventral determination circuit 7, and the values of T4 and Tb are compared, and the concentration of bT is determined as shown in the fish body O.
が庁、小さいTbが腹と判足し、結果りを出力する。is the center, and the small Tb is added as the antagonal, and the result is output.
(6)発明の詳細
な説明したように、本発明によれば、形状のみでなく婉
淡分布の鏝度値を上半部、下半部に分ける加算?すると
いう方法によシ、魚体の背腹を自動判定することができ
る。これにより、高速かつ高gR率の魚体背腹識別回路
を実現することができる。(6) As described in detail, according to the present invention, it is possible to add not only the shape but also the intensity value of the elegance distribution into the upper half and the lower half. By this method, the dorsal and ventral position of the fish body can be automatically determined. Thereby, it is possible to realize a fish body dorsal and ventral identification circuit with high speed and high gR rate.
図は本発明の実施例の4N成説明図であり、図中1は輪
がIS抽出回路、2,3は行a度)AI算回路、4は中
線検出回路、5,6は列a度加算回路、7は背腹判定回
路を示す。
特許出願人 富士通株式会社
復代理人 弁理士 1)坂 善 重The figure is an explanatory diagram of the 4N configuration of the embodiment of the present invention. In the figure, 1 is the ring IS extraction circuit, 2 and 3 are the row a degree) AI calculation circuit, 4 is the median detection circuit, and 5 and 6 are the column a 7 indicates a dorsoventral determination circuit. Patent applicant Fujitsu Ltd. sub-agent Patent attorney 1) Yoshishige Saka
Claims (1)
回路、上下輪郭線間の中線を検出する回路、これらの回
路からの出力信号よシ魚体の上半面と下半面の画家デー
タの一度を加算または加重平均する回路、および上半面
と下半面それぞれの加算値また違平均値を比較する回路
を具えたことを特徴とする魚体背腹識別回路。A circuit that detects the contour line of the fish body input as image data, a circuit that detects the midline between the upper and lower contour lines, and output signals from these circuits. A circuit for identifying dorsal and ventral fish bodies, comprising a circuit for adding or weighted averaging, and a circuit for comparing added values and average values of the upper and lower halves.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP16738082A JPS5957365A (en) | 1982-09-25 | 1982-09-25 | Discriminating circuit of back and belly of fish |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP16738082A JPS5957365A (en) | 1982-09-25 | 1982-09-25 | Discriminating circuit of back and belly of fish |
Publications (2)
Publication Number | Publication Date |
---|---|
JPS5957365A true JPS5957365A (en) | 1984-04-02 |
JPH026104B2 JPH026104B2 (en) | 1990-02-07 |
Family
ID=15848638
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP16738082A Granted JPS5957365A (en) | 1982-09-25 | 1982-09-25 | Discriminating circuit of back and belly of fish |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPS5957365A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6349035A (en) * | 1986-08-14 | 1988-03-01 | ノルデイシエル・マシ−ネンバウ・ルド・バアデル・ゲ−エムベ−ハ−・ウント・コンパニ・カ−ゲ− | Electronic control apparatus |
CN108133184A (en) * | 2017-12-20 | 2018-06-08 | 中国水产科学研究院渔业机械仪器研究所 | It is a kind of based on the fish of fractal theory and BP algorithm identification and vaccine injection method |
-
1982
- 1982-09-25 JP JP16738082A patent/JPS5957365A/en active Granted
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6349035A (en) * | 1986-08-14 | 1988-03-01 | ノルデイシエル・マシ−ネンバウ・ルド・バアデル・ゲ−エムベ−ハ−・ウント・コンパニ・カ−ゲ− | Electronic control apparatus |
CN108133184A (en) * | 2017-12-20 | 2018-06-08 | 中国水产科学研究院渔业机械仪器研究所 | It is a kind of based on the fish of fractal theory and BP algorithm identification and vaccine injection method |
CN108133184B (en) * | 2017-12-20 | 2020-04-28 | 中国水产科学研究院渔业机械仪器研究所 | Fish identification and vaccine injection method based on fractal theory and BP algorithm |
Also Published As
Publication number | Publication date |
---|---|
JPH026104B2 (en) | 1990-02-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US5430810A (en) | Real time implementation of the hough transform | |
CN110415208B (en) | Self-adaptive target detection method and device, equipment and storage medium thereof | |
US7162062B2 (en) | Method of processing images | |
Kramer | Compact integrated motion sensor with three-pixel interaction | |
JPS594058B2 (en) | White blood cell image processing method | |
CN110246140A (en) | It is a kind of improved based on the matched adhesion particle Target Segmentation method of concave point | |
CN108846827B (en) | Method for rapidly segmenting fundus optic disk based on multiple circles | |
CN109100697B (en) | Target condensation method based on ground monitoring radar system | |
CN111862038A (en) | Plaque detection method, device, equipment and medium | |
CN114814832A (en) | Millimeter wave radar-based real-time monitoring system and method for human body falling behavior | |
CN108983194B (en) | Target extraction and condensation method based on ground monitoring radar system | |
JPS5957365A (en) | Discriminating circuit of back and belly of fish | |
JPH09299366A (en) | Region extract device | |
Hafez et al. | Using adaptive edge technique for detecting microaneurysms in fluorescein angiograms of the ocular fundus | |
CN113657333B (en) | Guard line identification method, guard line identification device, computer equipment and storage medium | |
JPH0738226B2 (en) | Separation method and apparatus used for moving objects | |
Guo et al. | The design and implementation of decompression sickness bubble detection system based on dynamic ultrasound images | |
JPS62138986A (en) | Character recognizing device | |
JPH07107876A (en) | Apparatus for sexing of fish | |
JPH026103B2 (en) | ||
JPS58222378A (en) | Discriminator of direction of fish body | |
JPS5880760A (en) | Method and device for discrimination of reticular erythrocyte | |
Novikov et al. | New Method to Detect Edges in Underlying Surface Images | |
Pugin et al. | Edge detection in remote sensing images based on fuzzy image representation | |
JP2968277B2 (en) | Character part separation method and apparatus |